“IntersectionZoo,” a benchmarking tool, uses a real-world traffic problem to test progress in deep reinforcement learning algorithms.

A new book coauthored by MIT’s Dimitris Bertsimas explores how analytics is driving decisions and outcomes in health care.

New type of “state-space model” leverages principles of harmonic oscillators.

A new method helps convey uncertainty more precisely, which could give researchers and medical clinicians better information to make decisions.

Battery management systems now blend physics and machine learning, delivering real‑time insights to boost safety, efficiency and lifespan even under heavy use.

A new approach could enable intuitive robotic helpers for household, workplace, and warehouse settings.

Chemists could use this quick computational method to design more efficient reactions that yield useful compounds, from fuels to pharmaceuticals.

Researchers have created a unifying framework that can help scientists combine existing ideas to improve AI models or create new ones.

"The findings suggest that excessive anxiety disrupts spatial learning and threat recognition, which could contribute to chronic fear responses."

A new technique automatically guides an LLM toward outputs that adhere to the rules of whatever programming language or other format is being used.