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Accurate prediction of antibody-antigen binding affinity is fundamental to therapeutic design, yet remains constrained by severe label sparsity and the complexity of antigenic variations. In this paper, we propose AbLWR (Antibody-antigen binding affinity List-Wise Ranking), a novel framework that reformulates the conventional affinity regression task as a listwise ranking problem. To mitigate label sparsity, AbLWR incorporates a PU (Positive-Unlabeled) learning mechanism leveraging a dual-level contrastive objective and meta-optimized label refinement to learn robust representations. Furthermore, we address antigenic […]

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Graph Data Prompt (GDP), which introduces specific prompts in graph data for efficiently adapting pre-trained GNNs, has become a mainstream approach to graph fine-tuning learning problem. However, existing GDPs have been respectively designed for distinct graph component (e.g., node features, edge features, edge weights) and thus operate within limited prompt spaces for graph data. To the best of our knowledge, it still lacks a unified prompter suitable for targeting all graph components simultaneously. To address this challenge, in […]

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Many companies are taking a slower, more controlled approach to autonomous systems as AI adoption grows. Rather than deploying systems that act on their own, they are focusing on tools that assist human decision-making and keep control over outputs. This approach is especially clear in sectors where errors carry real financial or legal risk. One example comes from S&P Global Market Intelligence, which builds AI tools into its Capital IQ Pro platform. The system is used by analysts […]

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Running containers on EC2 is not cloud-native. I’m sorry. Here’s what it actually means and the honest checklist to find out where your stack really stands. I’ve sat through a lot of conference talks where companies describe their “cloud-native journey.” The term has been so thoroughly diluted by marketing that it’s become nearly meaningless. Let me offer something more useful: a checklist. Run your stack against it. 1 Are your applications designed for ephemeral infrastructure? Cloud-native: your services […]

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I spent weeks debugging an agent that kept “forgetting” contexts mid-task. The agent had access to 1M context window, which should have been enough. But it wasn’t. It would repeat steps it had already completed, refetch data it had already seen, and occasionally ignore tool outputs that were technically still in the context. The logs looked fine. The context was huge. Nothing obvious was broken. The problem was not context window capacity. The problem was me treating the […]

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Exito Media Concepts, a globally recognized leader in B2B technology events, is proud to announce the 34th Edition of the BFSI IT Summit Indonesia 2026, the country’s foremost gathering of banking, financial services, and insurance (BFSI) technology leaders. The summit will take place on 16th April 2026 at the JW Marriott Mega Kuningan, Jakarta, bringing together over 150+ CIOs, CTOs, and digital transformation leaders to chart the future of financial services technology in Indonesia. Indonesia’s BFSI sector is […]

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An AI is world-class at writing test-pleasing code. It knows exactly how to write the code that will result in the coveted green checkmark, but not necessarily solve for the edge cases. Code coverage measures what was executed. Mutation testing measures what your tests would detect if the code was wrong. And in the world of AI, that is the only thing that matters. You could think of it like this: You want to make sure all the […]

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We present CapBench, a fully reproducible, multi-PDK dataset for capacitance extraction. The dataset is derived from open-source designs, including single-core CPUs, systems-on-chip, and media accelerators. All designs are fully placed and routed using 14 independent OpenROAD flow runs spanning three technology nodes: ASAP7, NanGate45, and Sky130HD. From these layouts, we extract 61,855 3D windows across three size tiers to enable transfer learning and scalability studies. High-fidelity capacitance labels are generated using RWCap, a state-of-the-art random-walk solver, and validated […]

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Learn how Cayuse’s engineering teams proactively resolve issues with PlayerZero, cutting high-priority customer ticket volume, and increasing their customer satisfaction score. 90% of issues fixed and identified before they reach the customer through enhanced visibility into the code base 80% reduction in the average time to resolution by running tickets through PlayerZero Significantly more resources dedicated to proactive monitoring and remedial action “PlayerZero has improved our ability to proactively detect and address issues earlier in the development lifecycle. […]

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