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Tomás Palacios named director of the Institute for Soldier Nanotechnologies

April 2, 2026

The electrical engineering and nanotechnology leader will guide the US Army-sponsored research center as it advances next-generation materials, electronics, and photonics for national security.

Preview tool helps makers visualize 3D-printed objects

April 2, 2026

By quickly generating aesthetically accurate previews of fabricated objects, the VisiPrint system could make prototyping faster and less wasteful.

QS World University Rankings rates MIT No. 1 in 12 subjects for 2026

March 26, 2026

The Institute also ranks second in seven subject areas.

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.

New sensor sniffs out pneumonia on a patient’s breath

March 23, 2026

The technology could enable fast, point-of-care diagnoses for pneumonia and other lung conditions.

Generative AI improves a wireless vision system that sees through obstructions

March 23, 2026

With this new technique, a robot could more accurately detect hidden objects or understand an indoor scene using reflected Wi-Fi signals.

A better method for identifying overconfident large language models

March 23, 2026

This new metric for measuring uncertainty could flag hallucinations and help users know whether to trust an AI model.

MIT and Hasso Plattner Institute establish collaborative hub for AI and creativity

March 23, 2026

Jointly led by the MIT Morningside Academy for Design, MIT Schwarzman College of Computing, and the Hasso Plattner Institute in Potsdam, the hub will foster a dynamic community where computing, creativity, and human-centered innovation meet.

Department of EECS Announces 2025 Promotions

March 18, 2026

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

Can AI help predict which heart-failure patients will worsen within a year?

March 16, 2026

Researchers at MIT, Mass General Brigham, and Harvard Medical School developed a deep-learning model to forecast a patient’s heart failure prognosis up to a year in advance.