From sprawling MMORPGs to fast-paced shooters, game studios are turning to AI to catch bugs faster, test more thoroughly, and keep up with relentless update cycles. AI-driven QA tools simulate ...

Accelerated use of AI in software development is rapidly altering the scope, skills, and strategies involved in securing code ...

Eureka City Council members approved a revised artificial intelligence policy Tuesday night, tightening rules for how city employees can use AI tools at work. After more than an hour of debate over ...

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

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

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 ...

Abstract: Research on mitigating errors in computing and communication systems has grown with their widespread use. In quantum computing, error correction is crucial ...

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 ...

Target identification is a critical and challenging step in drug discovery, with only a small fraction of human genes ...

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

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 ...

Many market watchers are flagging AI vendor lock-in as a risk. When it comes to technology adoption, vendor lock-in is ...