Science

A new geometric framework redefines how we measure AI progress, treating benchmarks as mathematical landscapes and quantifying the dynamics of autonomous self-improvement.

Researchers have developed a system that teaches AI to intelligently manage teams of language models, improving performance on reasoning-heavy challenges.

As generative AI tools enter the classroom, a robust evaluation system is needed to ensure they support effective learning and align with educational values.

Creating effective AI-powered learning companions requires more than just powerful language models – it demands a fundamental understanding of how people learn.

A new framework uses randomized scheduling to allow multiple robots to meet while minimizing the risk of revealing sensitive information.

A new benchmark reveals the limits of current AI coding assistants, but demonstrates how pairing them with human developers unlocks significantly improved problem-solving capabilities.

A new framework utilizes the power of logical reasoning to identify hidden threats within the noise of system logs.

Researchers have developed a new system that uses artificial intelligence to design and create functional craft assemblies from simple text prompts.

As artificial intelligence rapidly advances, a critical debate emerges about who-or what-will ultimately be in control.

New research shows that effectively coordinating multiple robots in a warehouse setting requires more than just individual intelligence, and a specific reinforcement learning approach is leading the way.