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MIT researchers use large language models to flag problems in complex systems

LLMs develop their own understanding of reality as their language abilities improve

Helping robots practice skills independently to adapt to unfamiliar environments

Method prevents an AI model from being overconfident about wrong answers

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

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

MIT researchers advance automated interpretability in AI models

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

Inaugural SERC seed grants aim to advance ethical and responsible computing practices

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

AI method radically speeds predictions of materials’ thermal properties

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

Reasoning skills of large language models are often overestimated

When to trust an AI model

MIT researchers introduce generative AI for databases

Study reveals why AI models that analyze medical images can be biased

Fotini Christia named director of the Institute for Data, Systems, and Society

Envisioning a future in which AI can decode whale song

Arvind, longtime MIT professor and prolific computer scientist, dies at 77

Understanding the visual knowledge of language models

A smarter way to streamline drug discovery

Technique improves the reasoning capabilities of large language models

Researchers use large language models to help robots navigate

New algorithm discovers language just by watching videos