Before big tech engineers can improve the fairness of recommendation systems, such as social media feeds and online shopping ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

Learn everything about Bright Equiford, including features, assets, performance metrics, and platform technology in this ...

A single drug can take more than a decade and an estimated $2.6 billion to bring to market, and much of that time is spent ...

To ensure a robust domestic supply chain in the U.S., Lawrence Livermore National Laboratory (LLNL) scientists are using ...

Target identification is the first and perhaps most critical step in drug discovery and development. Although the human genome contains roughly 20,000 protein-coding genes, only about 4,500 are ...

Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.

Mira Murati's Thinking Machines Lab has signed a multi-billion-dollar deal with Google Cloud for AI infrastructure powered by ...

Generative AI is best known for creating images and text. Now, it is helping industries make better planning decisions.

Three UW–Madison College of Letters & Science professors have been named 2026 Guggenheim Fellows, recognizing their ...

We've checked out everything on offer and lined up a selection of standout courses on AI: A Gentle Introduction to Generative ...