By leveraging reflections from wireless signals like Wi-Fi, the system could allow robots to find and manipulate items that are blocked from view.

Health insurance companies use AI to decide which health care treatment to cover. State laws and federal agencies are now moving toward regulating these algorithms.

In a new study, researchers discover the root cause of a type of bias in LLMs, paving the way for more accurate and reliable AI systems.

The MIT Ethics of Computing Research Symposium showcases projects at the intersection of technology, ethics, and social responsibility.

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.

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.