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 ...

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

As Anthropic’s Mythos signals a shift to unprecedented machine-speed vulnerability discovery, EPSS is gaining renewed ...

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

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

In my latest Signal Spot, I had my Villanova students explore machine learning techniques to see if we could accurately ...

Previously trained with text-based data, the AI is now a model that learns from videos and real-world simulations.

This article examines the work of data scientist Sai Prashanth Pathi in AI for credit risk, focusing on explainable machine ...

Overview: Africa is fast becoming one of the top regions worldwide in machine learning, especially in developing new ...

Artificial intelligence will continue to transform education and daily life. Children will grow up with AI, but they need ...

Artificial intelligence is already proving it can accelerate drug development and improve our understanding of disease. But ...

Coding is becoming a background task. Discover why the "syntax barrier" has vanished and the three orchestration skills I’m ...