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Witness-split + window-cardinality refinement for $r_3(N)$: Architecture, empirical results, and a structural hard pocket

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arXiv:2606.04016v1 Announce Type: new Abstract: We describe a reproducible computational framework for upper-bound searches on r_3(N), the maximum size of a 3-term-arithmetic-progression-free subset of [1,N]. The framework combines a verified lower-bound witness, endpoint forcing, depth-d witness-variable splitting, OEIS A003002 window-cardinality pruning, and recursive refinement of timed-out subproblems. Applied to the frontier case N = 212, K = 44, it found no feasible 44-set across millions of CP-SAT subproblems, supporting but not proving the conjectural value r_3(212) = 43. […]

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Early Detection of Alzheimer’s Disease Using Explainable Machine Learning on Clinical Biomarkers: A Multi-Class Classification Study Using the Alzheimer’s Disease Neuroimaging Initiative (ADNI) Dataset

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arXiv:2606.03995v1 Announce Type: new Abstract: Background: Alzheimer’s disease (AD) affects over 55 million people worldwide. Accurate, interpretable detection of normal cognition (NC), mild cognitive impairment (MCI), and AD from routine clinical assessments remains a critical unmet need. Methods: An XGBoost classifier was developed for three-class detection using eight clinical features from the Alzheimer’s Disease Neuroimaging Initiative (ADNI): MMSE, CDR Global, CDR Sum of Boxes (CDR-SB), MoCA, FAQ, age, sex, and education. Hyperparameters were optimised using Optuna (50 trials); […]

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Reinforcement Learning Handbook

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Hey all, I’ve been building an open RL Handbook as a comprehensive guide for reinforcement learning. Hope you will find it useful 🌐 rl-handbook.com 💻 github.com/lubludrova/rl-handbook Feedback, contribution or GitHub star ⭐ are welcome! submitted by /u/Savings-Shoulder-976 [link] [comments]

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Justin Solomon appointed associate dean of engineering education

Justin Solomon appointed associate dean of engineering education

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Justin Solomon, associate professor in the MIT Department of Electrical Engineering and Computer Science (EECS), has been appointed associate dean of engineering education in the MIT School of Engineering, effective July 1. In this new role, Solomon will focus on advancing innovation in engineering education across the school. He will help shape new pedagogical approaches in the context of an AI-enabled world and will explore experiential, hands-on, and other modes of learning. Working closely with academic departments, Solomon […]

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Deeplearning.AI's course on reinforcement learning is confusing me here.

Deeplearning.AI’s course on reinforcement learning is confusing me here.

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Before they define the r term as a sequence level reward, then claim that you can get the individual contribution of each token by subtracting a token level baseline. How on earth does that even work? They never elaborate on this and most of the time never clarify that r is sequence or token level in these explanations. This has really frustrated me especially since this “explanation” is coming from a course that’s supposed to make these ideas […]

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Flesh-eating screwworm infection detected in South Texas, USDA says

Flesh-eating screwworm infection detected in South Texas, USDA says

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A case of New World screwworm has been reported in South Texas. If confirmed, it would be the first detected breach of the US-Mexico border by the ravenous flesh-eating flies, which have been making their way up through Central America for the past several years. In a social media post Wednesday afternoon, the US Department of Agriculture said a “sample is now at USDA’s National Veterinary Services Laboratories (NVSL) in Ames, lowa for confirmatory testing. We will provide […]

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Best resources to learn more about RL?

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I just finished my masters in computer science and looking for jobs now! Have been seeing a lot of RL labs lately and wanting to learn more about this area. Any pointers would be much appreciated. submitted by /u/Frosty_Craft3831 [link] [comments]

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