By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

Reinforcement learning (RL) has demonstrated remarkable promise in sequential decision-making tasks; however, its explainability issues continue to hinder high-stakes domains that demand regulatory ...

The Department of Energy (DOE) has released specifications for 26 artificial intelligence (AI) challenges under its Genesis ...

This March 9-12, the SXSW EDU Conference & Festival returns to Austin, TX, to celebrate innovation, experimentation, and learning across every stage of education.

Michelle Lee, PhD, unpacks how physical AI that integrate scientific reasoning with the wet lab will accelerate biological discovery.

One would imagine that an AI capable of solving the hardest Olympiad problems would naturally produce novel scientific ...

Abstract: This paper presents an intelligent phishing-detection system that combines lightweight transformer models with explainable AI for real-time protection across email and web browsing. Two fine ...