Computer Science and Artificial Intelligence Laboratory (CSAIL)

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

June 20, 2024

The dedicated teacher and academic leader transformed research in computer architectures, parallel computing, and digital design, enabling faster and more efficient computation.

A technique for more effective multipurpose robots

June 5, 2024

With generative AI models, researchers combined robotics data from different sources to help robots learn better.

New tool empowers users to fight online misinformation

May 20, 2024

The Trustnet browser extension lets individuals assess the accuracy of any content on any website.

Department of EECS Announces 2024 Promotions

May 17, 2024

Adam Belay, Manya Ghobadi, Stefanie Mueller, and Julian Shun are all being promoted to associate professor with tenure.

Five MIT faculty elected to the National Academy of Sciences for 2024

May 16, 2024

Guoping Feng, Piotr Indyk, Daniel Kleitman, Daniela Rus, Senthil Todadri, and nine alumni are recognized by their peers for their outstanding contributions to research.

A better way to control shape-shifting soft robots

May 14, 2024

A new algorithm learns to squish, bend, or stretch a robot’s entire body to accomplish diverse tasks like avoiding obstacles or retrieving items.

Portrait of Jonathan Ragan-Kelly

Creating bespoke programming languages for efficient visual AI systems

May 6, 2024

Associate Professor Jonathan Ragan-Kelley optimizes how computer graphics and images are processed for the hardware of today and tomorrow.

Three from MIT named 2024-25 Goldwater Scholars

May 3, 2024

Undergraduates Ben Lou, Srinath Mahankali, and Kenta Suzuki, whose research explores math and physics, are honored for their academic excellence.

Natural language boosts LLM performance in coding, planning, and robotics

May 3, 2024

Three neurosymbolic methods help language models find better abstractions within natural language, then use those representations to execute complex tasks.

A blueprint for making quantum computers easier to program

April 19, 2024

A CSAIL study highlights why it is so challenging to program a quantum computer to run a quantum algorithm, and offers a conceptual model for a more user-friendly quantum computer.