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Computer Science and Artificial Intelligence Laboratory (CSAIL)

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“It started informally as my way of giving back to the MIT community,” says MIT junior Benjamin Chan. His daily chalkboard project welcomes students, faculty, staff, and visitors to the Stata Center.

Mind, hand, heart — and chalk

A daily art project conceived by MIT student Benjamin Chan welcomes students, faculty, staff, and visitors to the Stata Center.

January 13, 2016

MIT affiliates were well represented in the 2016 Forbes 30 Under 30, honoring young leaders.

25 from MIT named to Forbes 30 Under 30 lists in 2016

Students, researchers, and alumni honored in the 2016 Forbes 30 Under 30 lists showcasing America’s most important young entrepreneurs, thinkers, and leaders.

January 7, 2016

This image demonstrates tissue patterns that emerge from genetically programmed human pluripotent stem cells, and was taken on day nine of the MIT study. It shows immunostainings of cell nuclei for CEBPA (red, endodermal marker), SOX10 (green, ectodermal marker), and DAPI (blue, binds to DNA in the nucleus).

Organ-on-a-chip

In a step toward personalized drug testing, researchers coax human stem cells to form complex tissues.

January 6, 2016

The DriveWell app runs in the background of a smartphone, collecting data on driving behavior. Drivers receive a score on a scale from 1 to 100, a route map, and tips for improvement. Scores can also be used for insurance discounts, or to compete with friends and other drivers worldwide.

Smarter driving, using your phone

App that rates drivers’ behavior yields promising safety results on the road.

January 5, 2016

MIT researchers fed their physics prediction system videos of collisions, shown as screenshots in (a) and (b), which were then converted into simulations generated by the 3-D physics engine, shown in (c) and (d).

Computer model matches humans at predicting how objects move

“3-D physics engine” from the Computer Science and Artificial Intelligence Laboratory simulates the human brain to infer physical properties.

January 4, 2016

Researchers have developed a computational model of visual representation intended to reflect the way the brain works.

Machines that learn like people

Algorithms could learn to recognize objects from a few examples, not millions; may better model human cognition.

December 23, 2015

“In health care, there’s this gigantic world of unstructured data that needs to be translated into useable information,” says Paul Nemirovsky, who co-founded dMetrics with Ariadna Quattoni.

Detecting consumer decisions within messy data

Software analyzes online chatter to predict health care consumers’ behavior.

December 21, 2015

For each image, the MemNet algorithm creates a heat map identifying its most memorable and forgettable regions.

Deep-learning algorithm predicts photos’ memorability at “near-human” levels

Future versions of an algorithm from the Computer Science and Artificial Intelligence Lab could help with teaching, marketing, and memory improvement.

December 16, 2015

CSAIL shows off demos to 150 high-schoolers for “Hour of Code”

Robots, 3-D printers, and a surprise guest aim to get students excited about computer science.

December 14, 2015

Humans and machines were given an image of a novel character (top) and asked to produce new versions. A machine generated the nine-character grid on the left.

Computer system passes “visual Turing test”

Character-drawing machines can fool human judges.

December 10, 2015

This self-folding microbot was among the many innovations that emerged from CSAIL in 2015.

Data, drones, and 3-D-printed hearts

Looking back on the year that was: Highlights from the Computer Science and Artificial Intelligence Lab in 2015.

December 8, 2015

“Tor operates under the assumption that there’s not a global adversary that’s paying attention to every single link in the world,” Nickolai Zeldovich says. “Maybe these days this is not as good of an assumption.”

Untraceable communication — guaranteed

New untraceable text-messaging system comes with statistical guarantees.

December 7, 2015

Clockwise from top left: Professors Karl Berggren, Edmund Bertschinger, Victor Zue, and Gerald Fink have been named AAAS Fellows.

Four MIT faculty elected 2015 AAAS Fellows

Berggren, Bertschinger, Fink, and Zue are among those recognized for efforts toward advancing science.

November 23, 2015

D. Fox Harrell, associate Professor of digital media, has appointments in MIT Comparative Media Studies/Writing, and the MIT Computer Science and Artificial intelligence Laboratory.

Designing virtual identities for empowerment and social change

D. Fox Harrell receives $1.35 million in grant funding to advance research at the intersection of social science and digital technology.

November 18, 2015

NASA's "Valkyrie" robot is 6 feet tall and weighs 290 pounds. Researchers at MIT's Computer Science and Artificial Intelligence Laboratory will test and develop the bot for future space missions.

NASA gives MIT a humanoid robot to develop software for future space missions

Team led by Professor Russ Tedrake of CSAIL to develop algorithms for 6-foot-tall “Valkyrie” robot to travel to Mars and beyond.

November 17, 2015