Amazon Research Awards (ARA) provides unrestricted funds and AWS Promotional Credits to academic researchers investigating various research topics in multiple disciplines. This cycle, ARA received many excellent research proposals from across the world and today is publicly announcing 63 award recipients who represent 41 universities in 8 countries.
This announcement includes awards funded under five call for proposals during the spring 2025 cycle: AI for Information Security, Amazon Ads, AWS AI: Agentic AI, Build on Trainium and Think Big. Proposals were reviewed for the quality of their scientific content and their potential to impact both the research community and society. Additionally, Amazon encourages the publication of research results, presentations of research at Amazon offices worldwide, and the release of related code under open-source licenses.
Recipients have access to more than 700 Amazon public datasets and can utilize AWS AI/ML services and tools through their AWS Promotional Credits. Recipients also are assigned an Amazon research contact who offers consultation and advice, along with opportunities to participate in Amazon events and training sessions.
“Amazon Research Awards are enabling incredibly impactful work to improve human healthfrom revolutionizing and democratizing structural biology tools, which can accelerate discovery of candidate molecules for new drugs to help patients, to predicting the etiology of a stroke in order to start the appropriate therapies, or interpreting digital phenotyping data to help with mental health services,” saidChristine Silvers, AWS Principal Healthcare Advisor. “These are just three examples of projects that recipients have received Amazon Research Awards for. The potential for improving healthcare amongst all of the spring 2025 plus past and future awardees is staggering and inspiring.
“Academic AI researchers face a fundamental challenge: advancing machine learning research and educating the next generation requires access to cutting-edge infrastructure that’s both powerful and affordable,” said Yida Wang, AWS AI Principal Applied Scientist. “The Build on Trainium program directly addresses this barrier. We are working with leading AI research universities such as, UC Berkeley, Stanford, CMU, MIT, UIUC, UCLA, and many others. At CMU, researchers achieved significant improvements over state-of-the-art FlashAttention in just one week. At MIT, researchers trained 3D medical imaging models with 50% higher throughput and lower cost, reducing training time from months to weeks. Build on Trainium represents AWS’s commitment to democratizing AI research through collaborative partnership with academiafostering an environment where researchers experiment freely, students learn on production-scale infrastructure, and academic innovations shape the future of machine learning for everyone.”
The tables below list, in alphabetical order by last name, the spring 2025 cycle call-for-proposal recipients, sorted by research area.
AI for Information Security
<tbody><tr><td colspan=”1″ rowspan=”1″><b>Recipient</b></td><td colspan=”1″ rowspan=”1″><b>University</b></td><td colspan=”1″ rowspan=”1″><b>Research title</b></td></tr><tr><td colspan=”1″ rowspan=”1″ attributes=”[object Object]”><a href=”https://www.amazon.science/research-awards/recipients/christopher-fletcher” data-cms-id=”0000019a-92c9-df9b-a7db-b7fbbfb20000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/christopher-fletcher” 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Fletcher&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b738-d634-a1be-ff7d4e9d0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Christopher Fletcher</a> </td><td colspan=”1″ rowspan=”1″ attributes=”[object Object]”>University Of California, Berkeley</td><td colspan=”1″ rowspan=”1″ attributes=”[object Object]”>Design and Verification of High-Assurance Key Management Services for Stateful Confidential Computing</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/zhou-li” data-cms-id=”00000188-9255-dbd2-a1db-fad562520000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/zhou-li” 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Li&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b745-dfc3-a7bb-ffd76d790000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Zhou Li</a> </td><td colspan=”1″ rowspan=”1″>University Of California, Irvine</td><td colspan=”1″ rowspan=”1″>Precise and Analyst-friendly Attack Provenance on Audit Logs with LLM</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/yu-meng” data-cms-id=”0000019a-841a-d2f4-a79e-9e9ab9dd0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/yu-meng” 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Meng&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b745-dfc3-a7bb-ffd7a4b20000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Yu Meng</a> </td><td colspan=”1″ rowspan=”1″ height=”77″ class=”xl65″ width=”171″ style=”height:57.6pt;width:128pt”>University of Virginia</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”202″ style=”width:151pt”>Weakly-Supervised RLHF: Modeling Ambiguity and Uncertainty in Human Preferences</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”58″ class=”xl66″ width=”117″ style=”height:43.2pt;width:88pt”><a href=”https://www.amazon.science/research-awards/recipients/jelena-mirkovic” data-cms-id=”0000019a-842c-d2f4-a79e-9eae32c20000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/jelena-mirkovic” 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Mirkovic &quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b745-dfc3-a7bb-ffd7f1f50000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Jelena Mirkovic </a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”171″ style=”width:128pt”>University of Southern California</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”202″ style=”width:151pt”>Safe and Secure API Discovery for Agentic AI</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”77″ class=”xl66″ width=”117″ style=”height:57.6pt;width:88pt”><a href=”https://www.amazon.science/research-awards/recipients/aanjhan-ranganathan” data-cms-id=”0000019a-842a-df9b-a7db-a77b85020000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/aanjhan-ranganathan” 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Ranganathan &quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b746-dfc3-a7bb-ffd713c40000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Aanjhan Ranganathan </a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”171″ style=”width:128pt”>Northeastern University</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”202″ style=”width:151pt”>Understanding How LLMs Hack: Interpretable Vulnerability Detection and Remediation</td></tr><tr><td colspan=”1″ rowspan=”1″ attributes=”[object Object]”><a href=”https://www.amazon.science/research-awards/recipients/sanjit-seshia” data-cms-id=”00000188-9257-dbd2-a1db-fad7d5000000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/sanjit-seshia” 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Seshia&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b738-dfc3-a7bb-ffff9bce0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Sanjit Seshia</a> </td><td colspan=”1″ rowspan=”1″ attributes=”[object Object]”>University Of California, Berkeley</td><td colspan=”1″ rowspan=”1″ attributes=”[object Object]”>Design and Verification of High-Assurance Key Management Services for Stateful Confidential Computing</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”77″ class=”xl66″ width=”117″ style=”height:57.6pt;width:88pt”><a href=”https://www.amazon.science/research-awards/recipients/alexey-tregubov” data-cms-id=”0000019a-842e-d2f4-a79e-9eaed83e0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/alexey-tregubov” 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Tregubov &quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b746-dfc3-a7bb-ffd777870000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Alexey Tregubov </a></td><td colspan=”1″ rowspan=”1″>University of Southern California</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”202″ style=”width:151pt”>Safe and Secure API Discovery for Agentic AI</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/ziming-zhao” data-cms-id=”0000019a-841c-d2f4-a79e-9e9e4b9d0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/ziming-zhao” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1764039206289,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1764039206289,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;0000019a-841c-d2f4-a79e-9e9e4b9d0000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;0000019a-b8ee-d634-a1be-f9ff02460000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Ziming Zhao&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-a26d-d634-a1be-eb7d889c0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Ziming Zhao</a></td><td colspan=”1″ rowspan=”1″>Northeastern University</td><td colspan=”1″ rowspan=”1″>Understanding How LLMs Hack: Interpretable Vulnerability Detection and Remediation</td></tr></tbody>
Amazon Ads
<tbody><tr><td colspan=”1″ rowspan=”1″><b>Recipient</b></td><td colspan=”1″ rowspan=”1″><b>University</b></td><td colspan=”1″ rowspan=”1″><b>Research title</b></td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/xiaojing-liao” data-cms-id=”0000019a-8438-df9b-a7db-a77bd54c0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/xiaojing-liao” 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Liao&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-a26f-d634-a1be-eb7f3d3a0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Xiaojing Liao</a></td><td colspan=”1″ rowspan=”1″ class=”xl67″ width=”175″ style=”width:131pt”>University of Illinois at UrbanaChampaign</td><td colspan=”1″ rowspan=”1″ class=”xl67″ width=”285″ style=”width:214pt”>Adversarial Misuse of Large Language Models in Digital Advertising: Benchmarking and Mitigation</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/tianhao-wang” data-cms-id=”0000019a-843b-d2f4-a79e-9ebb555e0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/tianhao-wang” 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Wang&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-a26e-d634-a1be-eb7fb80c0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Tianhao Wang</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”175″ style=”width:131pt”>University of Virginia</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”285″ style=”border-left:none;width:214pt”>Adversarial Misuse of Large Language Models in Digital Advertising: Benchmarking and Mitigation</td></tr></tbody>
AWS Agentic AI
<tbody><tr><td colspan=”1″ rowspan=”1″><b>Recipient</b></td><td colspan=”1″ rowspan=”1″><b>University</b></td><td colspan=”1″ rowspan=”1″><b>Research title</b></td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ width=”64″ style=”height:14.5pt;width:48pt”><a href=”https://www.amazon.science/research-awards/recipients/faez-ahmed” data-cms-id=”0000019a-83b3-d2f4-a79e-9bbbc7a00000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/faez-ahmed” 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Ahmed&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-a270-d634-a1be-eb7dc7490000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Faez Ahmed</a></td><td colspan=”1″ rowspan=”1″ height=”19″ width=”64″ style=”height:14.5pt;width:48pt”>Massachusetts Institute of Technology</td><td colspan=”1″ rowspan=”1″ height=”19″ width=”64″ style=”height:14.5pt;width:48pt”>AutoDA-Sim: A Multi-Agent Framework for Safe, Aesthetic, and Aerodynamic Vehicle Design</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/fabio-anza” data-cms-id=”0000019a-83b8-df9b-a7db-a7fbd39f0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/fabio-anza” 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Anza&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-a271-d46c-a3bb-fa710dfe0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Fabio Anza</a></td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>University of Maryland, Baltimore County</td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>Physics Co-Pilot: An LLM-Orchestrated Scientific Assistant for Physics Research</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/andrea-bajcsy” data-cms-id=”0000019a-83e0-df9b-a7db-a7fb62a00000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/andrea-bajcsy” 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Bajcsy&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-a271-d46c-a3bb-fa7181660000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Andrea Bajcsy</a></td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>Carnegie Mellon University</td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>Fine Grained Planning Evaluation for VLM Web Agents</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/niranjan-balasubramanian” data-cms-id=”0000018f-0dcd-d205-afbf-eddd30a10000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/niranjan-balasubramanian” 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Balasubramanian&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-a271-d46c-a3bb-fa71d6ee0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Niranjan Balasubramanian</a></td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>Stony Brook University</td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>Efficient and Effective Long-Horizon Reasoning for Interactive LLM Agents</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/andreea-bobu” data-cms-id=”0000019a-83bb-df9b-a7db-a7fb1d030000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/andreea-bobu” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1764039312149,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1764039312149,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;0000019a-83bb-df9b-a7db-a7fb1d030000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;0000019a-b8ef-d634-a1be-f9ff9c940000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Andreea Bobu&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-a272-d634-a1be-eb7f589d0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Andreea Bobu</a></td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>Massachusetts Institute of Technology</td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>Contextual Harm Mitigation and Automated Backtracking in Computer Use Agents</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/joseph-campbell” data-cms-id=”0000019a-83b9-d2f4-a79e-9bbbfa300000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/joseph-campbell” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1764039327483,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1764039327483,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;0000019a-83b9-d2f4-a79e-9bbbfa300000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;0000019a-b8ef-d634-a1be-f9ffcea30000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Joseph Campbell&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-a272-d46c-a3bb-fa73ce430000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Joseph Campbell</a> </td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>Purdue University, West Lafayette</td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>Open-World Probabilistic Theory of Mind</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/cong-chen” data-cms-id=”0000019a-83f7-d2f4-a79e-9bff131d0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/cong-chen” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1764039339956,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1764039339956,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;0000019a-83f7-d2f4-a79e-9bff131d0000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;0000019a-b8f0-d634-a1be-f9fd06810000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Cong Chen&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-a273-d634-a1be-eb7f35780000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Cong Chen</a></td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>Dartmouth College</td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>Empowering Power Systems and Market Operations with Behavioral Generative Agents</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/chunyang-chen” data-cms-id=”0000019a-83fd-df9b-a7db-a7ff3b1a0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/chunyang-chen” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1764039350238,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1764039350238,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;0000019a-83fd-df9b-a7db-a7ff3b1a0000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;0000019a-b8f0-dfc3-a7bb-fcf735e50000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Chunyang Chen&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-a274-d634-a1be-eb7d402b0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Chunyang Chen</a></td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>Technical University of Munich</td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>Functional Bug-Aware Software Testing via Intelligent Computer Use Agents</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/shay-cohen” data-cms-id=”0000019a-83ed-df9b-a7db-a7ff404a0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/shay-cohen” 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Cohen&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-a274-d634-a1be-eb7dc25b0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Shay Cohen</a></td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>University of Edinburgh</td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>Diffusion-inspired chain-of-thought self-revision</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/fernando-de-la-torre” data-cms-id=”0000019a-83de-d2f4-a79e-9bde8edb0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/fernando-de-la-torre” 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De la Torre&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-a275-d46c-a3bb-fa7505af0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Fernando De la Torre</a></td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>Carnegie Mellon University</td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>Fine Grained Planning Evaluation for VLM Web Agents</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/sidong-feng” data-cms-id=”0000019a-83ff-d2f4-a79e-9bff3c8b0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/sidong-feng” 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Feng&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-a275-d46c-a3bb-fa75e6a40000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Sidong Feng</a></td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>Monash University</td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>Functional Bug-Aware Software Testing via Intelligent Computer Use Agents</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/james-fogarty” data-cms-id=”0000019a-83d4-df9b-a7db-a7ff22320000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/james-fogarty” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1764039399758,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1764039399758,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;0000019a-83d4-df9b-a7db-a7ff22320000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;0000019a-b8f0-dfc3-a7bb-fcf7ed990000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;James Fogarty&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-a276-d634-a1be-eb7f36980000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>James Fogarty</a></td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>University of Washington, Seattle</td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>Leveraging Multiple Representations in Multi-Agent Mobile App Interface Understanding and Task Execution</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/surbhi-goel” data-cms-id=”0000019a-83af-df9b-a7db-a7ff38670000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/surbhi-goel” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1764039411251,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1764039411251,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;0000019a-83af-df9b-a7db-a7ff38670000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;0000019a-b8f1-d634-a1be-f9fd24190000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Surbhi Goel&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-a276-d634-a1be-eb7f82f20000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Surbhi Goel</a></td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>University of Pennsylvania</td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>Efficient and Safe Protocols for Collaborative Agentic AI</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/nika-haghtalab” data-cms-id=”0000019a-83ce-df9b-a7db-a7fff6120000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/nika-haghtalab” 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Haghtalab&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-a27d-d46c-a3bb-fa7d4c880000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Nika Haghtalab</a> </td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>University of California, Berkeley</td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>Multi-Agent AI Alignment</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/irwin-king” data-cms-id=”00000188-9258-dbd2-a1db-fad9c2b40000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/irwin-king” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1764039444864,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1764039444864,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;00000188-9258-dbd2-a1db-fad9c2b40000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;0000019a-b8f1-dfc3-a7bb-fcf778fb0000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Irwin King&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b732-dfc3-a7bb-fff7c3a20000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Irwin King</a></td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>The Chinese University of Hong Kong</td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>WebAGI: VLM-Driven Framework for Robust Web Automation and Planning in Agentic AI</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/emma-lejeune” data-cms-id=”0000019a-83da-df9b-a7db-a7fb91500000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/emma-lejeune” 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Lejeune&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b733-dfc3-a7bb-fff712b20000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Emma Lejeune</a></td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>Boston University</td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>Formidable yet Solvable: Scientific Computing Tasks for Agentic AI</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/bang-liu” data-cms-id=”0000019a-83b6-df9b-a7db-a7ff0aa10000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/bang-liu” 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Liu&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b733-dfc3-a7bb-fff750970000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Bang Liu</a> </td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>University of Montreal</td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>Foundation Agents and Protocol for Collaborative Agentic AI</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/harsha-madhyastha” data-cms-id=”0000019a-83fb-d2f4-a79e-9bfba8d30000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/harsha-madhyastha” 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Madhyastha&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b733-d634-a1be-ff7f96a20000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Harsha Madhyastha</a></td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>University of Southern California</td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>Improving the Efficiency of Web Agents</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/michael-macy” data-cms-id=”0000019a-8400-df9b-a7db-a77b49a90000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/michael-macy” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1764039513277,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1764039513277,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;0000019a-8400-df9b-a7db-a77b49a90000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;0000019a-b8f2-dfc3-a7bb-fcf7ab460000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Michael Macy&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b734-d634-a1be-ff7d38160000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Michael Macy</a></td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>Cornell University</td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>Artificial Collective Intelligence: The Structure and Dynamics of LLM Communities</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/radu-marculescu” data-cms-id=”00000188-9258-dbd2-a1db-fad9800b0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/radu-marculescu” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1764039528124,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1764039528124,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;00000188-9258-dbd2-a1db-fad9800b0000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;0000019a-b8f2-dfc3-a7bb-fcf7df610000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Radu Marculescu&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b734-d634-a1be-ff7d8af60000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Radu Marculescu</a></td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>University of Texas at Austin</td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>Collaborative Continual Learning in Multimodal Multi-Agent Systems</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/lianhui-qin” data-cms-id=”0000019a-83d0-df9b-a7db-a7fb32890000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/lianhui-qin” 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Qin&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b734-d634-a1be-ff7dc66a0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Lianhui Qin</a></td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>University of California, San Diego</td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>ReaL-Agent: A Retrieval-and-Reasoning Agent for Deep, Cross-Modality Retrieval</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/mahnam-saeednia” data-cms-id=”0000019a-83dd-d2f4-a79e-9bdf503e0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/mahnam-saeednia” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1764039559002,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1764039559002,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;0000019a-83dd-d2f4-a79e-9bdf503e0000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;0000019a-b8f3-dfc3-a7bb-fcf744900000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Mahnam Saeednia&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b735-dfc3-a7bb-fff709ae0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Mahnam Saeednia</a></td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>Delft University of Technology</td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>Heterogeneous Multi-Agent Collaboration For Built-in Resilience</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/maarten-sap” data-cms-id=”0000018a-237b-dbc1-af8f-a77b691f0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/maarten-sap” 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Sap&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b735-dfc3-a7bb-fff741820000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Maarten Sap</a></td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>Carnegie Mellon University</td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>OpenAgentSafety: Measuring and Mitigating Safety Harms of LLM-based AI Agent Interactions</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/vitaly-shmatikov” data-cms-id=”0000019a-83b7-df9b-a7db-a7ffa3680000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/vitaly-shmatikov” 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Shmatikov&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b735-dfc3-a7bb-fff7a5220000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Vitaly Shmatikov</a></td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>Cornell University</td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>Contextual Security for Multi-Agent Systems</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/haim-sompolinsky” data-cms-id=”0000019a-83bc-d2f4-a79e-9bbebd6d0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/haim-sompolinsky” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1764039604646,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1764039604646,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;0000019a-83bc-d2f4-a79e-9bbebd6d0000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;0000019a-b8f4-dfc3-a7bb-fcf70f5f0000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Haim Sompolinsky&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b735-d634-a1be-ff7df28a0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Haim Sompolinsky</a></td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>Harvard University</td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>Lifelong learning in agentic AI through gated memory modules</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/john-torous” data-cms-id=”0000019a-83cd-df9b-a7db-a7ff19880000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/john-torous” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1764039618112,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1764039618112,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;0000019a-83cd-df9b-a7db-a7ff19880000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;0000019a-b8f4-dfc3-a7bb-fcf747b90000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;John Torous&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b736-dfc3-a7bb-fff7a33b0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>John Torous</a> </td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>Harvard University</td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>Interpreting Digital Phenotyping Data with LLM-Based Agentic Assistants for Mental Health Services</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/jindong-wang” data-cms-id=”0000019a-83d1-d2f4-a79e-9bdbb6110000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/jindong-wang” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1764039628672,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1764039628672,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;0000019a-83d1-d2f4-a79e-9bdbb6110000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;0000019a-b8f4-dfc3-a7bb-fcf775f80000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Jindong Wang&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b737-dfc3-a7bb-fff70b4f0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Jindong Wang</a></td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>College of William &amp; Mary</td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>Structure Matters: Task-Optimized Topologies for LLM Agents</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/xiaolong-wang” data-cms-id=”00000188-9254-dbd2-a1db-fad571950000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/xiaolong-wang” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1764039640153,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1764039640153,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;00000188-9254-dbd2-a1db-fad571950000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;0000019a-b8f4-d634-a1be-f9fd9ff70000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Xiaolong Wang&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b737-d634-a1be-ff7f5e650000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Xiaolong Wang</a></td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>University of California, San Diego</td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>Agentic World Representation</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/zhi-li-zhang” data-cms-id=”00000188-9258-dbd2-a1db-fad9b0480000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/zhi-li-zhang” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1764039650960,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1764039650960,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;00000188-9258-dbd2-a1db-fad9b0480000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;0000019a-b8f4-d634-a1be-f9fdcc470000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Zhi-Li Zhang&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b737-dfc3-a7bb-fff79d640000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Zhi-Li Zhang</a></td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>University of Minnesota, Twin Cities</td><td colspan=”1″ rowspan=”1″ height=”19″ style=”height:14.5pt”>NetGenius: Agentic AI for Next-Generation Wireless Network Autonomous Configurations and Intelligent Operations</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/jiawei-zhou” target=”_blank” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1764192038650,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;00000196-ee95-d41c-a3df-eedd06840000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1764192038650,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;00000196-ee95-d41c-a3df-eedd06840000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;target&quot;:&quot;NEW&quot;,&quot;attributes&quot;:[],&quot;url&quot;:&quot;https://www.amazon.science/research-awards/recipients/jiawei-zhou&quot;,&quot;_id&quot;:&quot;0000019a-c20a-d1c6-affa-ea3e14e10000&quot;,&quot;_type&quot;:&quot;ff658216-e70f-39d0-b660-bdfe57a5599a&quot;},&quot;linkText&quot;:&quot;Jiawei Zhou &quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-c20a-d1c6-affa-ea3e14b00000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Jiawei Zhou</a> </td><td colspan=”1″ rowspan=”1″><br><br>Stony Brook University<br></td><td colspan=”1″ rowspan=”1″><br><br>Efficient and effective long-horizon reasoning for interactive LLM agents<br></td></tr></tbody>
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<tbody><tr><td colspan=”1″ rowspan=”1″><b>Recipient</b></td><td colspan=”1″ rowspan=”1″><b>University</b></td><td colspan=”1″ rowspan=”1″ attributes=”[object Object]”><b>Research title</b></td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ width=”64″ style=”height:14.5pt;width:48pt”><a href=”https://www.amazon.science/research-awards/recipients/saikat-dutta” data-cms-id=”0000019a-92d0-df9b-a7db-b7fb6e010000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/saikat-dutta” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1764040079392,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1764040079392,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;0000019a-92d0-df9b-a7db-b7fb6e010000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;0000019a-b8fb-d634-a1be-f9ff5a0b0000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Saikat Dutta&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b73a-d634-a1be-ff7fbde70000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Saikat Dutta</a> </td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ width=”64″ style=”height:14.5pt;width:48pt”>Cornell University</td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ width=”64″ style=”height:14.5pt;width:48pt”>VERA: Automated Testing for Improving the Reliability of Neuron Compiler Toolchain</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/kuan-fang” data-cms-id=”0000019a-92ec-dfba-a1ba-feedecae0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/kuan-fang” 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Fang&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b73b-d634-a1be-ff7f0de80000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Kuan Fang</a> </td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”>Cornell University</td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”>Fast Adaptation of Multi-Modal Foundation Models for Robotic Perception and Control</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/shizhong-han” data-cms-id=”0000019a-92e8-dfba-a1ba-fee98ec00000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/shizhong-han” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1764040050895,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1764040050895,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;0000019a-92e8-dfba-a1ba-fee98ec00000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;0000019a-b8fa-d634-a1be-f9ffe8970000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Shizhong Han&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b73b-dfc3-a7bb-ffff5c2e0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Shizhong Han</a></td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”>Lieber Institute for Brain Development</td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”>Optimizing and scaling pretraining and preference-based fine-tuning of Large Chemical Models</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/sitao-huang” data-cms-id=”0000019a-92eb-dfba-a1ba-feeb9cbf0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/sitao-huang” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1764040038945,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1764040038945,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;0000019a-92eb-dfba-a1ba-feeb9cbf0000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;0000019a-b8fa-dfc3-a7bb-fcffb4270000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Sitao Huang&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b73b-dfc3-a7bb-ffffdb200000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Sitao Huang</a> </td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”>University of California, Irvine</td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”>Automatic Kernel Synthesis and Tuning for AWS Trainium via Profile-Guided Graph Topology Optimization</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/wataru-kameyama” data-cms-id=”0000019a-92d4-df9b-a7db-b7ff4fc60000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/wataru-kameyama” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1764040025219,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1764040025219,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;0000019a-92d4-df9b-a7db-b7ff4fc60000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;0000019a-b8fa-dfc3-a7bb-fcff7fbf0000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Wataru Kameyama&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b73c-dfc3-a7bb-ffff185b0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Wataru Kameyama</a></td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”>Waseda University</td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”>Accelerating Vision-Language Autonomous Driving with AWS Trainium</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/dong-li” data-cms-id=”0000019a-92d8-dfba-a1ba-fed9e6730000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/dong-li” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1764039999547,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1764039999547,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;0000019a-92d8-dfba-a1ba-fed9e6730000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;0000019a-b8fa-dfc3-a7bb-fcff19c10000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Dong Li&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b73c-d634-a1be-ff7d5a5b0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Dong Li</a></td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”>University of California, Merced</td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”>Efficient Sparse Training with Adaptive Expert Parallelism on AWS Trainium</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/xiaoxiao-li” data-cms-id=”0000019a-92f2-dfba-a1ba-fefb1ebf0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/xiaoxiao-li” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1764039984047,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1764039984047,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;0000019a-92f2-dfba-a1ba-fefb1ebf0000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;0000019a-b8f9-d634-a1be-f9fdd1bd0000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Xiaoxiao Li&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b73c-d634-a1be-ff7d963d0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Xiaoxiao Li</a></td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”>University of British Columbia</td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”>Efficient MoE LLMs via Pruning and Matryoshka Quantization on AWS Trainium</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/jiang-liu” data-cms-id=”0000019a-92d2-df9b-a7db-b7fbb2380000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/jiang-liu” 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Liu&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b73d-d634-a1be-ff7d78930000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Jiang Liu</a> </td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”>Waseda University</td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”>Accelerating Vision-Language Autonomous Driving with AWS Trainium</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/xiaoyi-lu” data-cms-id=”00000188-9254-dbd2-a1db-fad58dea0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/xiaoyi-lu” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1764039951861,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1764039951861,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;00000188-9254-dbd2-a1db-fad58dea0000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;0000019a-b8f9-dfc3-a7bb-fcff633f0000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Xiaoyi Lu&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b73d-d634-a1be-ff7db1cf0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Xiaoyi Lu</a></td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”>University of California, Merced</td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”>Accelerating Large Language and Reasoning Model Workloads with AWS Trainium</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/satoshi-masuda” data-cms-id=”0000019a-92e3-df9b-a7db-b7fb1e800000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/satoshi-masuda” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1764039938722,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1764039938722,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;0000019a-92e3-df9b-a7db-b7fb1e800000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;0000019a-b8f9-dfc3-a7bb-fcff28ec0000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Satoshi Masuda&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b73e-dfc3-a7bb-ffff006c0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Satoshi Masuda</a></td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”>Tokyo City University</td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”>LLM for Software Modeling Brain in Multi Language</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/andrew-mccallum” data-cms-id=”0000019a-92db-df9b-a7db-b7fb06eb0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/andrew-mccallum” 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McCallum&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b73e-dfc3-a7bb-ffff6ad90000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Andrew McCallum</a> </td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”>University of Massachusetts, Amherst</td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”>Overcoming Fundamental Reasoning Limitations of LLMs by Always Thinking before Writing</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/xupeng-miao” data-cms-id=”0000019a-92df-dfba-a1ba-fedfebd40000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/xupeng-miao” 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Miao&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b73e-dfc3-a7bb-ffffafaa0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Xupeng Miao</a></td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”>Purdue University, West Lafayette</td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”>Towards Communication-Efficient Distributed Training of Large Foundation Models by Dataflow-aware Optimizations</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/michael-nagle” data-cms-id=”0000019a-92e9-df9b-a7db-b7fbed2b0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/michael-nagle” 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Nagle&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b73e-d634-a1be-ff7ff10b0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Michael Nagle</a></td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”>Lieber Institute for Brain Development</td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”>Optimizing and scaling pretraining and preference-based fine-tuning of Large Chemical Models</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/jean-christophe-nebel” data-cms-id=”0000019a-92de-df9b-a7db-b7ffb22c0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/jean-christophe-nebel” 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Nebel&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b73f-d634-a1be-ff7faebf0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Jean-Christophe Nebel</a></td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”>Kingston University London</td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”>Efficient Architectures for Genomic Variant Interpretation: Language Models for Non-Coding DNA Variant Analysis</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/farzana-rahman” data-cms-id=”0000019a-92dd-df9b-a7db-b7ff1af20000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/farzana-rahman” 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Rahman&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b73f-d634-a1be-ff7fef8b0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Farzana Rahman</a></td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”>Kingston University London</td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”>Efficient Architectures for Genomic Variant Interpretation: Language Models for Non-Coding DNA Variant Analysis</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/rohan-sachdeva” data-cms-id=”0000019a-92e6-df9b-a7db-b7ffb1c30000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/rohan-sachdeva” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1764039842019,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1764039842019,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;0000019a-92e6-df9b-a7db-b7ffb1c30000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;0000019a-b8f7-d634-a1be-f9ffb4e80000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Rohan Sachdeva&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b741-d634-a1be-ff7d70790000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Rohan Sachdeva</a> </td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”>University of California, Berkeley</td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”>Learning HostMicrobial Genetic Element Interactions with Genomic Language Models</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/yanning-shen” data-cms-id=”0000019a-9d69-dfba-a1ba-ff69e7100000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/yanning-shen” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1764039828389,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1764039828389,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;0000019a-9d69-dfba-a1ba-ff69e7100000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;0000019a-b8f7-dfc3-a7bb-fcf77d340000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Yanning Shen&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b741-dfc3-a7bb-ffd7b45d0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Yanning Shen</a></td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”>University of California, Irvine</td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”>Automatic Kernel Synthesis and Tuning for AWS Trainium via Profile-Guided Graph Topology Optimization</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/yun-song” data-cms-id=”0000019a-92e5-df9b-a7db-b7ffad2e0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/yun-song” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1764039814391,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1764039814391,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;0000019a-92e5-df9b-a7db-b7ffad2e0000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;0000019a-b8f7-d634-a1be-f9ff3fff0000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Yun Song&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b742-d634-a1be-ff7f91b30000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Yun Song</a></td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”>University of California, Berkeley</td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”>Learning HostMicrobial Genetic Element Interactions with Genomic Language Models</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”><a href=”https://www.amazon.science/research-awards/recipients/hoa-vo” data-cms-id=”0000019a-92f0-df9b-a7db-b7fb3f9e0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/hoa-vo” 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Vo&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b742-dfc3-a7bb-ffd7eaaa0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Hoa Vo</a> </td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”>Indiana University Bloomington</td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”>AI-Powered Travel Pattern Detection in VR for Occupant Behavior Analysis Using AWS Trainium</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ width=”64″ style=”height:14.5pt;width:48pt”><a href=”https://www.amazon.science/research-awards/recipients/minjia-zhang” data-cms-id=”0000019a-92d5-df9b-a7db-b7ff5a220000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/minjia-zhang” 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Zhang&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b743-d634-a1be-ff7f8eb20000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Minjia Zhang</a> </td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”>University of Illinois Urbana-Champaign</td><td colspan=”1″ rowspan=”1″ height=”19″ class=”xl65″ style=”height:14.5pt”>Trainium-native MoE: Developing kernel and system optimizations for efficient and scalable MoE training</td></tr></tbody>
Think Big
<tbody><tr><td colspan=”1″ rowspan=”1″><b>Recipient</b></td><td colspan=”1″ rowspan=”1″><b>University</b></td><td colspan=”1″ rowspan=”1″><b>Research title</b></td></tr><tr><td colspan=”1″ rowspan=”1″ height=”174″ class=”xl65″ width=”64″ style=”height:130.5pt;width:48pt”><a href=”https://www.amazon.science/research-awards/recipients/tianlong-chen” data-cms-id=”00000196-efff-d41c-a3df-efff3c610000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/tianlong-chen” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1764039733754,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1764039733754,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;00000196-efff-d41c-a3df-efff3c610000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;0000019a-b8f6-d634-a1be-f9ff0b8d0000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Tianlong Chen&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b744-d634-a1be-ff7d86960000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Tianlong Chen</a> </td><td colspan=”1″ rowspan=”1″ height=”174″ class=”xl65″ width=”64″ style=”height:130.5pt;width:48pt”>University of North Carolina at Chapel Hill</td><td colspan=”1″ rowspan=”1″ height=”174″ class=”xl65″ width=”64″ style=”height:130.5pt;width:48pt”>Leveraging Molecular Dynamics to Empower Protein AI Models</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”213″ class=”xl65″ width=”64″ style=”height:159.5pt;width:48pt”><a href=”https://www.amazon.science/research-awards/recipients/william-ho-joon-lee” data-cms-id=”0000019a-92ba-df9b-a7db-b7fbb4720000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/william-ho-joon-lee” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1764039754676,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1764039754676,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;0000019a-92ba-df9b-a7db-b7fbb4720000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;0000019a-b8f6-d634-a1be-f9ff44760000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;William H. Lee&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b744-d634-a1be-ff7dbcb50000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>William H. Lee</a></td><td colspan=”1″ rowspan=”1″ height=”213″ class=”xl65″ width=”64″ style=”height:159.5pt;width:48pt”>Yale School of Medicine</td><td colspan=”1″ rowspan=”1″ height=”213″ class=”xl65″ width=”64″ style=”height:159.5pt;width:48pt”>AI-powered prediction of ischemic stroke etiologies using multi-modal data</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”174″ class=”xl65″ width=”64″ style=”height:130.5pt;width:48pt”><a href=”https://www.amazon.science/research-awards/recipients/piotr-sliz” data-cms-id=”0000019a-92bd-df9b-a7db-b7ffc2bb0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/piotr-sliz” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1764039768871,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1764039768871,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;0000019a-92bd-df9b-a7db-b7ffc2bb0000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;0000019a-b8f6-dfc3-a7bb-fcf792a20000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Piotr Sliz&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;0000019a-b745-dfc3-a7bb-ffd70e110000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Piotr Sliz</a></td><td colspan=”1″ rowspan=”1″ height=”174″ class=”xl65″ width=”64″ style=”height:130.5pt;width:48pt”>Harvard Medical School</td><td colspan=”1″ rowspan=”1″ height=”174″ class=”xl65″ width=”64″ style=”height:130.5pt;width:48pt”>SBCloud A Transformative Model for Scalable Structural Biology Research</td></tr></tbody>
