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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
Artificial intelligence is increasingly used as a tool in many health care settings, from writing physicians' notes to making ...
Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...
While artificial intelligence (AI) models have proved useful in some areas of science, like predicting 3D protein structures, ...
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