Science

New research reveals that while artificial intelligence can now perform scientific tasks, it doesn’t necessarily understand the reasoning behind them.

A new approach combines visual understanding and user control to build recommender systems that are both effective and transparent.

Evaluating generative AI demands a move beyond treating culture as data and toward understanding it as the very foundation upon which these systems operate.

A new approach leverages the combined power of visual understanding and user control to build recommender systems that are more transparent and less prone to bias.

Evaluating generative AI isn’t just about accuracy-it requires understanding how these systems interpret and are shaped by the cultural contexts they both reflect and create.

A new research approach leverages ongoing focus groups to refine robot-assisted interventions and ensure they truly meet the needs of autistic individuals.

A new multi-agent framework promises to move beyond adaptive learning and towards truly proactive, personalized education powered by artificial intelligence.

A new framework digitizes the practical knowledge of experimental scientists, enabling AI to provide safe and grounded support for complex laboratory procedures.

This review details a novel method for generating smooth, vectorizable contact manifolds, crucial for enabling gradient-based optimization in physics simulations.

New research introduces a framework for enabling more natural and robust cooperative manipulation with humanoid robots, moving beyond the limitations of existing approaches to coordination and data.