Science

A new framework empowers AI agents to not just use tools, but to autonomously develop and refine the skills needed for genuine scientific exploration.

A new study introduces a benchmark and model designed to help robots understand where people typically store household items, bridging a critical gap in commonsense reasoning.

Artificial intelligence is rapidly transforming the traditionally painstaking processes of preparing geometry and generating meshes for engineering simulations.

Researchers have developed a new framework enabling humanoid robots to seamlessly translate diverse inputs-from spoken commands to musical rhythms-into fluid, real-time motion.

A new study shows that the inner workings of a leading data-driven weather model can be understood by extracting and interpreting the features it learns from data.

Scaling artificial intelligence demands more than just creating convincing outputs – it requires designing systems with guaranteed safety, feasibility, and resilience.

A new large-scale dataset empowers robots to perform complex manipulation tasks with improved generalization and robustness.

Researchers are leveraging the power of flow-based generative models to create AI agents capable of surprisingly dexterous interactions with graphical user interfaces.

A new framework leverages the power of artificial intelligence to automatically interpret complex simulations of molecular behavior, bridging the gap between visual data and chemical expertise.

A new framework shifts the focus from simply verifying AI’s output to assessing its ability to collaborate effectively with human developers.