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 ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper publishing April 22 in the Cell Press ...

For many years, a dominant view in neuroscience was that neurons in the inferotemporal (IT) cortex—a critical center in the ...

A paddle-wielding robot is so adept at playing table tennis that it is posing a tough challenge to elite human players and ...

The growing field of machine unlearning aims to make large language models forget harmful information without retraining them ...

Harnessing heat generated by a device itself, microscopic silicon structures could lead to more energy-efficient thermal ...

Alessa Carbo's AI-powered translation of sign language videos earned her first authorship at a major natural language ...

Jonathan D. Uslaner and Matthew Goldstein of Bernstein Litowitz Berger & Grossmann LLP examine the proposed new Federal Rule ...

What if the next generation of disposable electronics—the sensors in your food packaging, the diagnostic strips in a medical ...

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