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

Tension: Marketers expect consistent ad performance, but audiences process the same message with decreasing intensity over ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

t-MDS treatments boost remission with HMA combinations, yet overall survival still lags; experts await breakthrough therapies ...

Tension: Marketers keep optimizing for yesterday’s algorithms while platforms have quietly rewritten the rules of visibility ...

Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized energy management. Yet as renewable penetration rises, maintaining stable ...

In a new study published today in the journal mBio, researchers at the University of Maryland School of Medicine (UMSOM) ...

Machine learning systems embed preferences either in training losses or through post-processing of calibrated predictions. Applying information design methods from Strack and Yang (2024), this paper ...

A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

Quantum computing technology is complex, getting off the ground and maturing. There is promise of things to come. potentially changing the computing paradigm.

The American Control Conference (ACC), the annual conference of the American Automatic Control Council (AACC), will offer ...

An artificial intelligence algorithm developed by a team at the Montreal Heart Institute is as good as, or even better than, ...