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 ...

Behind every powerful AI model lies a world of mathematics—linear algebra, calculus, probability, and more—that makes it all work. Understanding these concepts bridges the gap between theory and ...

Training AI world models on data about physical environments could improve their real-world capabilities in technologies such ...

What we encounter in LLMs is largely ourselves. A psychoanalytic AI take on transference, countertransference, and the ...

Terence Tao has been exploring the intersection between maths and AI. Credit: David Esquivel/UCLA. Is mathematics being taken ...

Recent advances in large-scale AI models, including large language and vision-language-action models, have significantly expanded the capabilities of ...

Whether estimating the probability that a disease is present or forecasting risk of deterioration,1 readmission,2 or death,3 most contemporary clinical artificial intelligence (AI) systems are ...

New research shows that AI language models can develop a mathematical “understanding” that differentiates between events that ...