Theoretical physicists use machine-learning algorithms to speed up difficult calculations and eliminate untenable theories—but could they transform what it means to make discoveries?

Their proposed model, outlined in a paper published in Nature Human Behavior, combines advanced machine learning algorithms with behavioral science theory.

Recently, Xi'an Thermal Engineering Research Institute Co., Ltd. obtained an impressive patent titled "Method and System for Predicting Frequency Regulation Commands of Molten Salt Thermal Energy ...

Scientific Machine Learning: Theory, Algorithms, and Applications September 27, 2025 - 12:00 AM Eastern Time September 28, 2025 - 1:00 PM Eastern Time Location: LWSN 1130 Poster session location: ...

AI-powered cloud services enable scalable model training and deployment. Setting Up a Machine Learning Environment on Linux To begin AI/ML development on Linux, follow these steps: Choose a Linux ...

A machine-learning model developed in this study was able to predict 24-hour peaks for intraocular pressure (IOP).

The machine learning model the team implemented overcame the challenge of limited data to incorporate the alpha conotoxins' amino acid sequences, secondary structure propensities and electrostatic ...