Electrical Engineering and Computer Science

The GANpaint system developed at MIT can easily add features to an existing image. At left, the original photo of a kitchen; at right, the same kitchen with the addition of a window. Co-author Jun-Yan Zhu believes better understanding of GANs will help researchers be able to better stamp out fakery: “This understanding may potentially help us detect fake images more easily.”

Teaching artificial intelligence to create visuals with more common sense

An MIT/IBM system could help artists and designers make quick tweaks to visuals while also helping researchers identify “fake” images.

July 1, 2019

For years, researchers from MIT and Brown University have been developing an interactive system that lets users drag-and-drop and manipulate data on any touchscreen, including smartphones and interactive whiteboards. Now, they’ve included a tool that instantly and automatically generates machine-learning models to run prediction tasks on that data.

Drag-and-drop data analytics

System lets nonspecialists use machine-learning models to make predictions for medical research, sales, and more.

June 27, 2019

Users feed Gen relatively short code defining a target task, and the system automatically generates the results.

New AI programming language goes beyond deep learning

General-purpose language works for computer vision, robotics, statistics, and more.

June 26, 2019

Mussie Demisse demonstrates the Smart Suit, a 6.08 team project that analyzes the user's pushup form.

Smart workout apparel, “Vegetable Assassins,” and inspiration from medieval music

In a popular EECS class, student teams design, program, build, and demonstrate their own cloud-connected, handheld, or wearable embedded systems.

June 25, 2019

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

Inkbit, a startup out of MIT, has created a multimaterial 3-D printer capable of printing extremely flexible materials more accurately than competitors, according to the founders.

A 3-D printer powered by machine vision and artificial intelligence

MIT startup Inkbit is overcoming traditional constraints to 3-D printing by giving its machines “eyes and brains.”

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

MIT News | Massachusetts Institute of Technology

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