Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

A machine learning approach leverages nuclear microreactor symmetry to reduce training time when modeling power output ...

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the ...

Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...

The new capabilities are designed to enable enterprises in regulated industries to securely build and refine machine learning ...

On Wednesday, predictive analytics firm Recentive filed a combined petition for panel rehearing and rehearing en banc with the U.S. Court of Appeals for the Federal Circuit challenging that court’s ...

Australian researchers have achieved a world-first breakthrough by validating a quantum machine learning model for ...

Meesho takes a leap in AI development. It open-sources BharatMLStack on GitHub. This platform processes huge data volumes ...

Core math topics like linear algebra, statistics, and calculus form the foundation of data science.• Real-world projects and ...

Researchers at Tohoku University used machine learning potential to create large-scale models of tin (Sn) catalysts under ...