Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine ...

The idea that artificial intelligence can “reason” is more intuitive than ever. But intuitions can be wrong, and the science is far from settled.

Thermodynamic computing crossed a credibility threshold this week as peer-reviewed papers from Lawrence Berkeley National ...

Matrix Calculus for Machine Learning and Beyond This is the course page for an 18.063 Matrix Calculus at MIT taught in January 2026 (IAP) by Professors Alan Edelman and Steven G. Johnson.

We have developed a near-memory (near-bank) 2D-systolic array processing architecture simulator by extending UniNDP (Unified Near-Data Processing tool), an open-source compilation and simulation ...

The current MA risk adjustment model has shortcomings, both in predictive accuracy and payment equity across the Medicare ...

A machine learning-based equation may estimate low-density lipoprotein cholesterol as accurately as the widely validated ...

Machine learning is rapidly reshaping how we model molecules, and a growing body of work suggests that neural networks are not merely statistical ...

Sebastien Bubeck of OpenAI says “yes, nonsofic groups exist”—as an example of “many new beautiful results” from Astra, next major OpenAI model. OpenAI published a page and PDF detailing ten advances ...

Researchers at Rensselaer Polytechnic Institute (RPI) have found that today's leading artificial intelligence tools for ...