Electrical Engineering and Computer Science

The researchers’ neural network was fed video from 26 terabytes of video data downloaded from the photo-sharing site Flickr. Researchers found the network can interpret natural sounds in terms of image categories. For instance, the network might determine that the sound of birdsong tends to be associated with forest scenes and pictures of trees, birds, birdhouses, and bird feeders.

Computer learns to recognize sounds by watching video

Machine-learning system doesn’t require costly hand-annotated data.

December 2, 2016

MIT senior Brian Wanek wears a racing helmet inside a prototype of what will be the driver’s seat in the 2017 MIT Formula SAE car as sophomore Wasay Anwer measures the frame.

Harder, better, faster, stronger

The MIT Formula SAE team takes a great leap forward to build their 2017 race car.

November 29, 2016

Given a still image from a scene, new deep-learning algorithm can create a brief video that simulates the future of that scene.

Creating videos of the future

Given a still image, CSAIL deep-learning system generates videos that predict what will happen next in a scene.

November 29, 2016

Tamara Broderick, assistant professor of electrical engineering and computer science at MIT, was a presenter at the 2016 Machine Intelligence Summit.

Meeting of the minds for machine intelligence

Industry leaders, computer scientists, and venture capitalists gather to discuss how smarter computers are remaking our world.

November 22, 2016

This illustration shows a miniature electron gun driven by terahertz radiation. A UV pulse (blue) back-illuminates the gun photocathode, producing a high-density electron bunch inside the gun. The bunch is immediately accelerated by ultra-intense terahertz pulses to energies approaching 1 kiloelectronvolt. These high-field optically-driven electron guns can be utilized for ultrafast electron diffr...

Toward X-ray movies

Low-power tabletop source of ultrashort electron beams could replace car-size laboratory devices.

November 22, 2016

CoolThink@JC will target 16,000 students at 32 primary schools across the city of Hong Kong, offering tools and expertise to boost computational thinking abilities. Insights from the initiative, being done in collaboration with MIT and others, will eventually inform the development of curriculum for all Hong Kong teachers and students.

Teaching Hong Kong students to embrace computational thinking

Powered by MIT expertise and regional universities, CoolThink@JC will offer training to primary teachers and students at 32 schools.

November 15, 2016

A new cordless virtual reality device consists of two directional "phased-array" antennas, each less than half the size of a credit card.

Enabling wireless virtual reality

Developed at Computer Science and Artificial Intelligence Laboratory, “MoVR” system allows VR headsets to communicate without a cord

November 14, 2016

Information extraction — or automatically classifying data items stored as plain text — is a major topic of artificial-intelligence research.

Artificial-intelligence system surfs web to improve its performance

“Information extraction” system helps turn plain text into data for statistical analysis.

November 10, 2016

A system developed by researchers at MIT and Stony Brook University should make it easier for researchers to solve complex computational problems using dynamic programming optimized for multicore chips — without the expertise that such programming typically requires.

Faster programs, easier programming

New system lets nonexperts optimize programs that run on multiprocessor chips.

November 7, 2016

An autonomous mobility scooter and related software were designed by researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), the National University of Singapore, and the Singapore-MIT Alliance for Research and Technology (SMART).

Driverless-vehicle options now include scooters

Self-driving scooter demonstrated at MIT complements autonomous golf carts and city cars.

November 7, 2016

A team of researchers at MIT, the University of Brasilia, and the University of British Columbia has now engineered an antimicrobial peptide that can destroy many types of bacteria, including some that are resistant to most antibiotics.

Engineers design a new weapon against bacteria

Antimicrobial peptides can kill strains resistant to existing antibiotics.

November 2, 2016

Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have devised a way to train neural networks so that they provide not only predictions and classifications but rationales for their decisions.

Making computers explain themselves

New training technique would reveal the basis for machine-learning systems’ decisions.

October 27, 2016

First row (left to right): Matteo Bucci, Tal Cohen, and Ali Jadbabaie. Second row (left to right): Zachary P. Smith, Stefanie Mueller, Adam Belay, David Sontag, and Virginia Vassilevska Williams. Third row (left to right): Max Shulaker, Jennifer Rupp, Ryan Williams, Carmen Guerra-Garcia, and Zachary Hartwig

New engineering faculty for 2016-2017

The School of Engineering welcomes 13 new professors.

October 27, 2016

A team, including researchers from MIT’s Computer Science and Artificial Intelligence Laboratory, has created a new set of algorithms that can efficiently fit probability distributions to high-dimensional data.

Finding patterns in corrupted data

New model-fitting technique is efficient even for data sets with hundreds of variables.

October 26, 2016

Asu Ozdaglar, the Joseph F. and Nancy P. Keithley Professor of Electrical Engineering

Asu Ozdaglar named associate department head of EECS

Expert in optimization theory to join the Department of Electrical Engineering and Computer Science leadership.

October 25, 2016

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