Computer Vision

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February 15, 2022

New recipients of Meta (Facebook) Fellowship for 2022

Meta (Facebook) recently announced the winners of its highly competitive 2022 fellowships. The incoming group of Fellowship recipients includes four MIT graduate students, two of whom study within

January 5, 2022

Nonsense can make sense to machine-learning models

Deep-learning methods confidently recognize images that are nonsense, a potential problem for medical and autonomous-driving decisions.

December 20, 2021

Five in EECS Appointed to Career Development Professorships

The Department of Electrical Engineering and Computer Science has announced the appointment of five of its faculty members to Career Development Professorships, retroactively effective July 1, 2021. Those

Nine photos show different series of household items, such as a wrench and a box of sugar, clustered in different orientations towards each other.
December 15, 2021

Machines that see the world more like humans do

A new “common-sense” approach to computer vision enables artificial intelligence that interprets scenes more accurately than other systems do.

December 3, 2021

The Shape Of Success: The Summer Geometry Initiative

Associate professor of Electrical Engineering and Computer Science Justin Solomon wants to bring great students into his research field from all corners of the globe. The Summer Geometry

December 2, 2021

2021 EECS Awards

It’s nearing the end of 2021, and we want to celebrate the accomplishments and contributions of our incredible EECS community by sharing some of the awards given by

November 29, 2021

James Fujimoto named 2022 recipient of the IEEE Medal for Innovations in Healthcare Technology

James Fujimoto, the Elihu Thomson Professor in Electrical Engineering, has been named the 2022 recipient of the IEEE Medal for Innovations in Healthcare Technology. In the award citation,

2021 Rising Stars Academic Career Workshop

Rising Stars is an intensive workshop for graduate students and postdocs with historically marginalized or underrepresented genders who are interested in pursuing academic careers in electrical engineering, computer