Machine-learning systems already shape ordinary parts of life, from spam filters to product recommendations and social media ...

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 ...

Heriot-Watt University research warns that cost-cutting use of generative AI in machine learning could increase cyber-attack, ...

Any software license that denies users their freedom is by definition nonfree and unethical, and so-called "Responsible AI" Licenses (RAIL) are no exception. If we want software to help decrease ...

In recent years, artificial intelligence has become more accessible than ever before. Powerful libraries, automated platforms ...

NPU-equipped MCUs open the door to optimized edge AI in systems ranging from wearable health monitors to physical AI in ...

Editor’s Note: There’s a quiet arms race underway on Wall Street, and it’s not about who trades fastest anymore. It’s about ...

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

GOES-East satellite observations and machine learning have, for the first time, connected this observed structure to the much ...

Vonage’s partnership with Girls Who Code is more than feel-good philanthropy; it’s a blueprint for building diverse AI talent ...

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