Computer science and technology

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

“The goal of all this is to present the interesting stuff to the data scientists so that they can more quickly address all these new data sets that are coming in,” says Max Kanter MEng ’15.

Automating big-data analysis

With new algorithms, data scientists could accomplish in days what has traditionally taken months.

October 21, 2016

A team led by Polina Golland’s group at MIT’s Computer Science and Artificial Intelligence Laboratory has made a new algorithm for identifying organs in fetal MRI scans, which should make MRI monitoring much more useful. Pictured is a stock image of a fetal MRI.

MRIs for fetal health

Algorithm could help analyze fetal scans to determine whether interventions are warranted.

October 21, 2016

CNBC's Eamon Javers (left) with Arizona Secretary of State Michele Reagan (center) and former NSA counsel Rajesh De.

Cambridge Cyber Summit convenes industry, academia, and government

Hosted by CSAIL, event featured discussions on cybersecurity with tech leaders and officials from the NSA and FBI.

October 12, 2016

To demonstrate Foundry, MIT researchers designed and fabricated skis with retro-reflective surfaces, a ping-pong paddle, a helmet, and even a bone that may someday be used for surgical planning.

Designing for 3-D printing

“Foundry” tool from the Computer Science and Artificial Intelligence Lab lets you design a wide range of multi-material 3-D-printed objects.

October 11, 2016

Cambridge Mobile Telematics co-founders Hari Balakrishnan (left) and Samuel Madden (right).

Rewarding Boston’s safest driver

Mayor Martin Walsh announces a competition aimed at improving Boston driving with an app developed by an MIT spinout.

October 5, 2016

In experiments, the researchers fired a laser beam through a “mask” — a thick sheet of plastic with slits cut through it in a certain configuration, such as the letter A — and then through a 1.5-centimeter “tissue phantom,” a slab of material designed to mimic the optical properties of human tissue for purposes of calibrating imaging systems. Light scattered by the tissue phantom was ...

Toward visible-light-based imaging for medical devices, autonomous vehicles

System accounts for the deflection of light particles passing through animal tissue or fog.

September 29, 2016

A new computer system can automatically screen young children for speech and language disorders and, potentially, even provide specific diagnoses.

Automated screening for childhood communication disorders

Computer system could help identify subtle speech, language disorders in time for early intervention.

September 22, 2016

MIT researchers have found a new way of managing memory on computer chips that uses circuit space much more efficiently and is more consistent with existing chip designs.

Cache management improved once again

New version of breakthrough memory management scheme better accommodates commercial chips.

September 21, 2016

Left to right: PhD student Fadel Adib, PhD student Mingmin Zhao, and Professor Dina Katabi pose with their EQ-Radio device, which can detect emotion using wireless signals.

Detecting emotions with wireless signals

Measuring your heartbeat and breath, CSAIL device can tell if you’re excited, happy, angry, or sad.

September 20, 2016

ROBOAT, a new collaboration between researchers from MIT and partner institutions in the Netherlands, seeks to design and deploy a fleet of autonomous boats on the canals of Amsterdam.

An autonomous fleet for Amsterdam

MIT, AMS Institute will collaborate to solve complex urban problems for Amsterdam with the development of autonomous "roboats."

September 19, 2016

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