Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

To some, METR’s “time horizon plot” indicates that AI utopia—or apocalypse—is close at hand. The truth is more complicated.

A large-scale analysis of millions of cancer studies has uncovered patterns suggesting that a significant portion of the literature may not be as reliable as it appears.

As submissions to AI conferences soar, authors’ own rankings — combined with peer review — could offer a powerful way to ...

Text mining and knowledge graphs connect cell-culture parameters to glycosylation for faster bioprocess optimization.

Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...

Snap-on Incorporated ( SNA) Q4 2025 Earnings Call February 5, 2026 10:00 AM EST Good morning, and welcome to the Snap-on Inc. Fourth Quarter and Full Year 2025 Results Conference Call. [Operator ...

An AI-powered model developed at University of Michigan can read a brain MRI and diagnose a person in seconds, a study suggests. It detected neurological conditions with up to 97.5% accuracy and ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Hoffmann, Manuel, Sam Boysel, Frank Nagle, Sida Peng, and Kevin Xu. "Generative AI and the Nature of Work." Harvard Business School Working Paper, No. 25-021, October 2024. (Revised April 2025.) ...