Computer Science and Artificial Intelligence Laboratory (CSAIL)

MIT professor Stefanie Mueller led the development of the new ColorMod system.

Changing the color of 3-D printed objects

CSAIL system uses custom ink and ultraviolet light to repeatedly change an object's color.

January 29, 2018

D. Fox Harrell is the director of the Imagination, Computation, and Expression Laboratory at MIT’s Computer Science and Artificial Intelligence Laboratory.

3Q: D. Fox Harrell on his video game for the #MeToo era

The computer scientist’s group has designed a game that gets players to reflect on sexual misconduct in the workplace.

January 19, 2018

Three EECS professors join leadership team

Saman Amarasinghe and Joel Voldman are named associate department heads; Nancy Lynch is associate department head for strategic directions, a new post.

January 12, 2018

Class 2.680 (Unmanned Marine Vehicle Autonomy, Sensing and Communications), which is offered during spring semester, is structured around the presence of ice on the Charles. While the river is covered by a thick sheet of ice in February and into March, students are taught to code and program a remotely-piloted marine vehicle for a given mission.

Unlocking marine mysteries with artificial intelligence

Students put their AI software for underwater vehicles to the test on the Charles River.

December 14, 2017

As part of an investigation into the nature of humans' physical intuitions, MIT researchers trained a neural network to predict how unstably stacked blocks would respond to the force of gravity.

Computer systems predict objects’ responses to physical forces

Results may help explain how humans do the same thing.

December 13, 2017

Clockwise from top left: Shafi Goldwasser, Tomás Lozano-Pérez, Michael Sipser, and Silvio Micali.

Four from MIT named 2017 Association for Computing Machinery Fellows

Professors Goldwasser, Lozano-Perez, Micali, and Sipser honored for "providing key knowledge" to computing.

December 11, 2017

Neural nets are so named because they roughly approximate the structure of the human brain. Typically, they’re arranged into layers, and each layer consists of many simple processing units — nodes — each of which is connected to several nodes in the layers above and below. Data is fed into the lowest layer, whose nodes process it and pass it to the next layer. The connections between layers ...

Reading a neural network’s mind

Technique illuminates the inner workings of artificial-intelligence systems that process language.

December 10, 2017

To evaluate infants’ intuition regarding what other people value, researchers showed them videos in which an agent (red bouncing ball) decides whether it’s worth the effort to leap over an obstacle to reach a goal (blue cartoon character).

How badly do you want something? Babies can tell

Ten-month-old infants determine the value of a goal from how hard someone works to achieve it.

November 23, 2017

Ryan Williams, who joined the MIT electrical engineering and computer science faculty with tenure this year, hasn’t solved the problem of P vs. NP — nobody has — but he’s made one of the most important recent contributions toward its solution.

Chasing complexity

Ryan Williams has taken a key step toward solving the biggest problem in theoretical computer science.

November 22, 2017

MIT Professor Daniela Rus (right), director of the Computer Science and Artificial Intelligence Laboratory, speaks with Alphabet chairman Eric Schmidt.

Summit discusses impact of machines on jobs, productivity, and the global economy

Two-day “AI and the Future of Work” summit at MIT focused on the artificial intelligence revolution and the workplace.

November 7, 2017

A new MIT computer system speeds computations involving “sparse tensors,” multidimensional data arrays that consist mostly of zeroes.

Faster big-data analysis

System for performing “tensor algebra” offers 100-fold speedups over previous software packages.

October 30, 2017

“I think that the concept of massive and open data science can be really leveraged for areas where there’s a strong social impact but not necessarily a single profit-making or government organization that is coordinating responses,” MIT graduate student Micah Smith says about FeatureHub.

Crowdsourcing big-data analysis

Web-based system automatically evaluates proposals from far-flung data scientists.

October 30, 2017

Selective memory

Scheme would make new high-capacity data caches 33 to 50 percent more efficient.

October 22, 2017

“What’s really cool about eye tracking is it lets you see things that you’re not consciously aware of,” Professor Josh Tenenbaum says. “When psychologists and philosophers have proposed the idea of counterfactual simulation, they haven’t necessarily meant that you do this consciously. It’s something going on behind the surface, and eye tracking is able to reveal that.”

How we determine who’s to blame

Before assigning responsibility, our minds simulate alternative outcomes, study shows.

October 17, 2017

Pictured, left to right, are: Manisha Bahl, director of the Massachusetts General Hospital Breast Imaging Fellowship Program; MIT Professor Regina Barzilay (center); and Constance Lehman, professor at Harvard Medical School and chief of the Breast Imaging Division at MGH’s Department of Radiology.

Using artificial intelligence to improve early breast cancer detection

Model developed at MIT’s Computer Science and Artificial Intelligence Laboratory could reduce false positives and unnecessary surgeries.

October 16, 2017

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