This important study provides a mechanistic view of how antibody affinity maturation can reshape encounter-state landscapes and association pathways, with implications for understanding HIV antibody ...
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Chips that run on thermal noise could cut AI image generation energy use 10,000 times
Thermodynamic computing crossed a credibility threshold this week as peer-reviewed papers from Lawrence Berkeley National ...
A step-by-step guide to PeerDAS: how Ethereum swaps full blob downloads for data availability sampling after Fusaka, and how ...
Inventus Mining Corp. (TSXV: IVS) (“Inventus” or the “Company”) is pleased to report final results from the Trench 1 bulk ...
Cognition launched SWE-1.7 on Wednesday, the most capable model it has trained, and with it made a specific claim about reinforcement learning that the broader AI research community will be evaluating ...
Open-source world model AlayaWorld, released by China’s Shanda AI Research in July 2026, sustains interactive video ...
Integrating case counts with genomic sequences quantifies real-time transmission advantages of viral variants.
Introduction Community health workers (CHWs) are central to primary healthcare (PHC) delivery and infectious disease control ...
Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...
We introduce energy-based posterior sampling algorithm for inverse problems to derive the Minimum Mean Square Error (MMSE), uncertainty, and the Maximum A Posteriori ...
Specifically, we train a separate network to predict the conditional score of the generated distribution and apply score distillation at every token position conditioned on previous tokens.
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