A process that seeks feedback from human specialists proves more effective at optimization than automated systems working alone.

The method enables a model to determine its confidence in a prediction, while using no additional data and far fewer computing resources than other methods.

A new study shows how large language models like GPT-3 can learn a new task from just a few examples, without the need for any new training data.

A new tool brings the benefits of AI programming to a much broader class of problems.

Computer scientists want to know the exact limits in our ability to clean up, and reconstruct, partly blurred images.

Deep-learning model takes a personalized approach to assessing each patient’s risk of lung cancer based on CT scans.

MIT researchers developed and studied a customized AI training program for users with varied backgrounds, which could be delivered across large organizations.

A new method can produce a hundredfold increase in light emissions from a type of electron-photon coupling, which is key to electron microscopes and other technologies.

Built on recent advances in machine learning, the model predicts how well individuals will produce and comprehend sentences.

But the harm from a discriminatory AI system can be minimized if the advice it delivers is properly framed, an MIT team has shown.