Electrical engineering and computer science (EECS)

The MIT Machine Intelligence Community board and executive committee

Want to learn how to train an artificial intelligence model? Ask a friend.

MIT Machine Intelligence Community introduces students to nuts and bolts of machine learning.

June 25, 2019

MIT researchers have developed a system that gleans far more labeled training data from unlabeled data, which could help machine-learning models better detect structural patterns in brain scans associated with neurological diseases. The system learns structural and appearance variations in unlabeled scans, and uses that information to shape and mold one labeled scan into thousands of new, distinct...

From one brain scan, more information for medical artificial intelligence

System helps machine-learning models glean training information for diagnosing and treating brain conditions.

June 19, 2019

QS ranks MIT the world’s No. 1 university for 2019-20

Ranked at the top for the eighth straight year, the Institute also places first in 11 of 48 disciplines.

June 18, 2019

“Fiat Cryptography,” a system developed by MIT researchers, automatically generates — and simultaneously verifies — cryptographic algorithms optimized across all hardware platforms. Algorithms generated by the system are already behind most of the secure links opened in Google Chrome.

Automated cryptocode generator is helping secure the web

System automatically writes optimized algorithms to encrypt data in Google Chrome browsers and web applications.

June 17, 2019

Yunzhu Li is a PhD student at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL).

Teaching artificial intelligence to connect senses like vision and touch

MIT CSAIL system can learn to see by touching and feel by seeing, suggesting future where robots can more easily grasp and recognize objects.

June 17, 2019

Researchers have developed a flexible way of combining deep learning and symbolic reasoning to teach computers to write short computer programs. Here, Armando Solar-Lezama (left), a professor at CSAIL, speaks with graduate student Maxwell Nye.

Toward artificial intelligence that learns to write code

Researchers combine deep learning and symbolic reasoning for a more flexible way of teaching computers to program.

June 14, 2019

Chip design drastically reduces energy needed to compute with light

Simulations suggest photonic chip could run optical neural networks 10 million times more efficiently than its electrical counterparts.

June 5, 2019

MIT researchers have given their fleet of autonomous “roboats” the ability to automatically target and clasp onto each other — and keep trying if they fail. The roboats are being designed to transport people, collect trash, and self-assemble into floating structures in the canals of Amsterdam.

Autonomous boats can target and latch onto each other

Fleet of “roboats” could collect garbage or self-assemble into floating structures in Amsterdam’s many canals.

June 5, 2019

The MIT School of Engineering newly tenured faculty are: (first row, left to right) Amos Winter, Kerri Cahoy, Antoine Allanore, R. Scott Kemp, Juejun Hu, Emilio Baglietto, Virginia Vassilevska Williams, Aleksander Mądry, and Julie Shah. (second row, left to right) William Tisdale, Paul Blainey, Themistoklis Sapsis, Frances Ross, Sertac Karaman, Hadley Sikes, Saurabh Amin, and Daniel Sanchez.

The tenured engineers of 2019

Seventeen appointments have been made in eight departments within the School of Engineering.

June 4, 2019

MIT Professor Daniela Rus, director of the Computer Science and Artificial Intelligence Laboratory, kicked off an all-female lineup of speakers at TEDxMIT.

CSAIL hosts first-ever TEDxMIT

Speakers — all women — discuss everything from gravitational waves to robot nurses.

May 31, 2019

Researchers from MIT and elsewhere have developed an interactive tool that, for the first time, lets users see and control how increasingly popular automated machine-learning (AutoML) systems work.

Cracking open the black box of automated machine learning

Interactive tool lets users see and control how automated model searches work.

May 31, 2019

Phillip Isola is an expert in generative adversarial networks, a form of deep learning that is changing how we look at images and inspiring applications far beyond computer vision. Isola helped organize GANocracy, a day-long workshop at MIT on the art and science of GANs.

Q&A: Phillip Isola on the art and science of generative models

Image-translation pioneer discusses the past, present, and future of generative adversarial networks, or GANs.

May 30, 2019

MIT researchers have developed a low-cost, sensor-packed glove that captures pressure signals as humans interact with objects. The glove can be used to create high-resolution tactile datasets that robots can leverage to better identify, weigh, and manipulate objects.

Sensor-packed glove learns signatures of the human grasp

Signals help neural network identify objects by touch; system could aid robotics and prosthetics design.

May 29, 2019

3 Questions: Faculty appointments and the MIT Schwarzman College of Computing

Working group studies options for creating a new set of faculty hires for MIT’s new college.

May 24, 2019

Students participating in Quest for Intelligence-funded UROP projects this spring include: (clockwise from top left) Amanda Li, Maya Nigrin, Yuria Utsumi, Kika Arias, Marco Fleming, and Shreya Pandit.

Developing artificial intelligence tools for all

MIT Quest for Intelligence-sponsored undergraduate research projects demystify AI.

May 23, 2019

MIT News | Massachusetts Institute of Technology

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