Computer science and technology

The Lincoln Laboratory Supercomputing Center in Holyoke, Massachusetts, is home to the only zero-carbon emissions supercomputer on the 2016 TOP500 list of the world's most powerful supercomputers.

Lincoln Laboratory's supercomputing system ranked most powerful in New England

New Dell EMC petaflop-scale supercomputer has 6 times more processing power and 20 times more bandwidth than its predecessor.

December 1, 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

Professor Emeritus Jay Forrester, digital computing and system dynamics pioneer, dies at 98

The inventor of an early form of RAM had an outsized influence on organizational dynamics, supply chains, and sustainability.

November 19, 2016

In this illustration, each colored line represents a different state of a “spin chain,” which can be thought of as the magnetic orientations, or spins, of a string of quantum particles. Where the line rises, the spin is up; where it falls, the spin is down; and where it’s flat, the spin is zero. MIT researchers modeled the entanglement of a quantum system as the “superposition” of such s...

Entanglement bonanza

Relatively simple quantum computers could be much more powerful than previously realized.

November 18, 2016

Apollo code developer Margaret Hamilton receives Presidential Medal of Freedom

Former School of Engineering and Lincoln Laboratory computing pioneer among 21 recipients of the nation’s highest civilian honor.

November 17, 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

“I have considered working in social entrepreneurship or academia — ultimately I think I will seek out a combination of both. I think they both have advantages to addressing these kinds of problems, and their own drawbacks. I think ultimately I’m going to draw fulfillment from working on a problem that really matters to people,” senior Charlie Andrews-Jubelt says.

Life lessons from the climbing wall

MIT senior Charlie Andrews-Jubelt encourages students to look out for each other and lend support.

November 9, 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

The Media Lab has never looked spookier . . .

Scene at MIT: A nightmare on Ames Street

October 31, 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

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

“Gitless" removes complicated concepts like "staging" and "stashing," without fundamentally changing Git's core functionality.

Making it easier to collaborate on code

CSAIL team's “Gitless” fixes Git’s biggest issues — and suggests their approach could help improve systems like Gmail and Dropbox.

October 25, 2016

Researchers used sample images, like the ones on the top row, to identify several visual features that are highly correlated with judgments that a particular area is safe or unsafe. The left side shows a low level of safety while the right shows a high level. Highlighted areas on the middle row show “unsafe” areas while the bottom row shows “safe” areas in the image.

Quantifying urban revitalization

Combining cellphone data with perceptions of public spaces could help guide urban planning.

October 24, 2016

MIT News | Massachusetts Institute of Technology

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