Researchers are leveraging quantum mechanical properties to overcome the limits of silicon semiconductor technology.

By emulating a magnetic field on a superconducting quantum computer, researchers can probe complex properties of materials.

“MouthIO” is an in-mouth device that users can digitally design and 3D print with integrated sensors and actuators to capture health data and interact with a computer or phone.

Inspired by large language models, researchers develop a training technique that pools diverse data to teach robots new skills.

By allowing users to clearly see data referenced by a large language model, this tool speeds manual validation to help users spot AI errors.

A new method can train a neural network to sort corrupted data while anticipating next steps. It can make flexible plans for robots, generate high-quality video, and help AI agents navigate digital environments.

A new study of bubbles on electrode surfaces could help improve the efficiency of electrochemical processes that produce fuels, chemicals, and materials.

MIT CSAIL researchers created an AI-powered method for low-discrepancy sampling, which uniformly distributes data points to boost simulation accuracy.

By enabling users to chat with an older version of themselves, Future You is aimed at reducing anxiety and guiding young people to make better choices.

New dataset of “illusory” faces reveals differences between human and algorithmic face detection, links to animal face recognition, and a formula predicting where people most often perceive faces.