Computer Science and Artificial Intelligence Laboratory (CSAIL)

A prototype of a new modular robot, with its innards exposed and its
flywheel — which gives it the ability to move independently — pulled out.

Surprisingly simple scheme for self-assembling robots

Small cubes with no exterior moving parts can propel themselves forward, jump on top of each other, and snap together to form arbitrary shapes.

October 4, 2013

With each of the raw images at left (color), today's state-of-the-art
object-detection algorithms make errors that initially seem baffling — such as mistaking distant clouds for a nearby car. A new
technique enables the visualization of a common mathematical
representation of
images (in black and white), which should help researchers understand why
their
algorithms fail.

Teaching computers to see — by learning to see like computers

By translating images into the language spoken by object-recognition systems, then translating them back, researchers hope to explain the systems’ failures.

September 19, 2013

SuperUROP students Arun Saigal and Weihua Li celebrated receiving their SuperUROP certificates with Professors Anantha Chandrakasan, at left, and Dennis Freeman, who taught the two-semester class.

First ‘SuperUROPs’ cap off inaugural year

EECS program immerses undergraduates in advanced research projects.

May 13, 2013

New research could let vehicles, robots collaborate with humans

Researchers are developing systems that can analyze people’s needs to determine the best way to achieve their goals.

May 3, 2013

Jennifer Barry (left) and Annie Holladay pose with the Learning in Intelligent System Group's PR2 robot.

Teaching robots lateral thinking

New algorithms could help household robots work around their physical shortcomings.

February 25, 2013

Undergraduates Marcus Lowe and Victoria Sun developed a vision-based touch screen interpretation system for a blind woman who previously had trouble using her coffee machine’s controls.

Students develop assistive technologies

Undergraduate teams create helpful phone apps and devices for people with disabilities.

January 8, 2013

Mining physicians’ notes for medical insights

A new approach to algorithmically distinguishing words with multiple possible meanings could help find useful data in electronic medical records.

October 31, 2012

A new glasses-free 3-D video system uses three layered LCD panels displaying bizarre patterns (top three images) that collectively produce a coherent, high-resolution, multiperspective 3-D image. The bottom image illustrates, roughly, the composite image that would reach one eye at one viewing angle.

Glasses-free 3-D TV looks nearer

A new method for producing multiple-perspective 3-D images could prove more practical in the short term than holography.

July 12, 2012

Sam Madden, an associate professor in the Department of Electrical Engineering and Computer Science at MIT and co-leader of the 'bigdata@CSAIL' initiative, addresses the crowd at the initiative's launch on Wednesday. In the foreground, from left to right, are Computer Science and Artificial Intelligence Laboratory (CSAIL) Director Daniela Rus, Massachusetts Gov. Deval Patrick, MIT President Susan ...

MIT, Intel unveil new initiatives addressing ‘big data’

An Intel research center based at MIT will be the cornerstone of a new research project dubbed ‘bigdata@CSAIL.’

May 31, 2012

Scott Aaronson wins NSF’s Alan T. Waterman Award

National Science Foundation’s most prestigious award will help fuel CSAIL researcher’s work.

March 8, 2012

Thousands attended last year's Sloan Sports Analytics Conference.

Game on

As MIT Sloan Sports Analytics Conference kicks off, scholars and fans have produced a growing avalanche of quantitative research.

March 2, 2012

Not only do the images produced by GelSight, a new, portable imaging system from researchers in the Department of Brain and Cognitive Sciences, have a resolution that previously required expensive laboratory equipment, but they're 3-D, too. Here, GelSight images particles of ink spelling the word 'ink' on a piece of paper.

Portable, super-high-resolution 3-D imaging

A simple new imaging system could help manufacturers inspect their products, forensics experts identify weapons and doctors identify cancers.

August 9, 2011

Shivani Agarwal, a postdoctoral associate in the Computer Science and Artificial Intelligence Laboratory

Drug discovery, Netflix style?

MIT researchers apply ranking algorithms to pharmaceutical R&D.

April 13, 2010

MIT News | Massachusetts Institute of Technology

Browse By

Topics

Departments

Centers, Labs, & Programs

Schools

Topic