Computer Science and Artificial Intelligence Laboratory (CSAIL)

FILTER
Selected:

Stamping high-res imagery onto everyday items to “reprogram” their appearance

March 25, 2026

The portable “ChromoLCD” device combines LCD and LED lighting to customize high-quality designs onto things like shirts and whiteboards.

Department of EECS Announces 2025 Promotions

March 18, 2026

The Department is delighted to announce the following promotions to Associate, and Full, Professor.

Mixing generative AI with physics to create personal items that work in the real world

February 27, 2026

To help generative AI models create durable, real-world accessories and decor, the PhysiOpt system runs physics simulations and makes subtle tweaks to its 3D blueprints.

MIT community members elected to the National Academy of Engineering for 2026

February 18, 2026

Seven faculty members, along with 12 additional alumni, are honored for significant contributions to engineering research, practice, and education.

Antonio Torralba, three MIT alumni, named ACM Fellows

January 27, 2026

ACM Fellows, the highest honor bestowed by the professional organization, are registered members of the society selected by their peers for outstanding accomplishments in computing and information technology and/or outstanding service to ACM and the larger computing community.

A new way to “paint with light” to create radiant, color-changing items

January 22, 2026

“MorphoChrome,” developed at MIT, pairs software with a handheld device to make everyday objects iridescent.

Generative AI tool helps 3D print personal items that sustain daily use

January 15, 2026

“MechStyle” allows users to personalize 3D models, while ensuring they’re physically viable after fabrication, producing unique personal items and assistive technology.

MIT scientists investigate memorization risk in the age of clinical AI

January 7, 2026

New research demonstrates how AI models can be tested to ensure they don’t cause harm by revealing anonymized patient health data.

Guided learning lets “untrainable” neural networks realize their potential

December 22, 2025

CSAIL researchers find even “untrainable” neural nets can learn effectively when guided by another network’s built-in biases using their guidance method.

A new way to increase the capabilities of large language models

December 18, 2025

MIT-IBM Watson AI Lab researchers developed an expressive architecture that provides better state tracking and sequential reasoning in LLMs over long texts.