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Four Recipients Announced for new Transformative Research Funds

August 28, 2024

The department is pleased to announce the four inaugural recipients of the Transformative Research Fund, an exciting new funding opportunity designed to facilitate bold and pivotal research, especially that which applies recent breakthrough technologies (such as generative AI) to important problems with broad societal impact.

Duane Boning named vice provost for international activities

August 21, 2024

With extensive international outreach experience as a faculty member and program leader, Boning brings a spirit of curiosity and collaboration to his new role.

Using AI to protect against AI image manipulation

July 31, 2023

“PhotoGuard,” developed by MIT CSAIL researchers, prevents unauthorized image manipulation, safeguarding authenticity in the era of advanced generative models.

From left to right: Mantian Zue, Geeticka Chauhan, Hsin-Yu (Jane) Lai, and Sirma Orguc.

The Thriving Stars of Data-Driven Medical Diagnoses: early-career women share their professional discoveries and personal journeys on the cutting edge of healthcare and medical technology

June 7, 2023

Early-career women share their professional discoveries and personal journeys on the cutting edge of healthcare and medical technology

Robot armies duke it out in Battlecode’s epic on-screen battles

March 30, 2023

The long-running programming competition encourages skills and friendships that last a lifetime.

Student-powered machine learning

June 10, 2022

Recent MEng graduates reflect on their application-focused research as affiliates of the MIT-IBM Watson AI Lab.

Physics and the machine-learning “black box”

January 12, 2022

In 2.C01, George Barbastathis demonstrates how mechanical engineers can use their knowledge of physical systems to keep algorithms in check and develop more accurate predictions.

Tiny machine learning design alleviates a bottleneck in memory usage on internet-of-things devices

December 16, 2021

New technique applied to small computer chips enables efficient vision and detection algorithms without internet connectivity.