Precision home robots learn with real-to-sim-to-real

Method prevents an AI model from being overconfident about wrong answers

MIT researchers advance automated interpretability in AI models

Study: When allocating scarce resources with AI, randomization can improve fairness

Large language models don’t behave like people, even though we may expect them to

Scientists use generative AI to answer complex questions in physics

Creating and verifying stable AI-controlled systems in a rigorous and flexible way

AI method radically speeds predictions of materials’ thermal properties

How to assess a general-purpose AI model’s reliability before it’s deployed

Marking a milestone: Dedication ceremony celebrates the new MIT Schwarzman College of Computing building