Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...
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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 ...
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
Artificial intelligence is increasingly used as a tool in many health care settings, from writing physicians' notes to making ...
Materials research generates vast amounts of data, but the information often exists in manufacturer-specific formats and the terminology is inconsistent, making it difficult to aggregate, compare, and ...
Nature’s annual list of technologies to watch is a chance to celebrate progress and stimulate research into both ...
Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
From data analysis to pattern recognition: Here’s how Penn Medicine is using artificial intelligence
Across the University’s Health System, scientists are now using AI to enhance their understanding of biological systems and ...
There are hundreds of cell types in the human body, each with a specific role spelled out in their DNA. In theory, all it ...
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