By performing deep learning at the speed of light, this chip could give edge devices new capabilities for real-time data analysis.

A new framework from the MIT-IBM Watson AI Lab supercharges language models, so they can reason over, interactively develop, and verify valid, complex travel agendas.

Forget optimists vs. Luddites. Most people evaluate AI based on its perceived capability and their need for personalization.

The system automatically learns to adapt to unknown disturbances such as gusting winds.

The approach could help animators to create realistic 3D characters or engineers to design elastic products.

Researchers developed an algorithm that lets a robot “think ahead” and consider thousands of potential motion plans simultaneously.

SketchAgent, a drawing system developed by MIT CSAIL researchers, sketches up concepts stroke-by-stroke, teaching language models to visually express concepts on their own and collaborate with humans.

This new machine-learning model can match corresponding audio and visual data, which could someday help robots interact in the real world.

Researchers are developing algorithms to predict failures when automation meets the real world in areas like air traffic scheduling or autonomous vehicles.

Pathways involved in DNA repair and other cellular functions could contribute to the development of Alzheimer’s.