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AI & ML Research 8 Hours

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4 articles summarized · Last updated: LATEST

Last updated: August 10, 2026, 9:21 AM ET

AI & ML Research

AI agents for science require reasoning over data, argues Eric Schmidt in MIT Technology Review's newsletter. Meanwhile, SPP-Net demonstrates how Spatial Pyramid Pooling enables CNNs to handle any image size, with a from-scratch PyTorch implementation. A wave of startups is chasing next-generation LLM architectures, moving beyond the 2017 Transformer. And AI for science needs reasoning, not just data, echoing historical premature declarations of science's end.