Computer Science and Artificial Intelligence Laboratory (CSAIL)

Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have designed a device that helps cheap flash storage process massive graphs on a personal computer. The device (pictured here) consists of a flash chip array (eight black chips) and computation “accelerator" (square piece directly to the left of the array). A novel algorithm sorts all access requests for gr...

Device allows a personal computer to process huge graphs

With novel system, data scientists can analyze massive networks without the need for power-hungry servers.

May 31, 2018

A system developed at MIT aims to teach artificial agents a range of chores, including setting the table and making coffee.

Teaching chores to an artificial agent

Activity simulator could eventually teach robots tasks like making coffee or setting the table.

May 30, 2018

Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Senseable City Lab have designed a fleet of autonomous boats that offer high maneuverability and precise control.

Fleet of autonomous boats could service some cities, reducing road traffic

Researchers design 3-D-printed, driverless boats that can provide transport and self-assemble into other floating structures.

May 23, 2018

A study by MIT researchers has uncovered a new way of telling how well people are learning English: tracking their eyes.

Gauging language proficiency through eye movement

Study tracks eye movement to determine how well people understand English as a foreign language.

May 22, 2018

At the International Conference on Robotics and Automation tomorrow, researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) will present a new lane-change algorithm.

Making driverless cars change lanes more like human drivers do

Algorithm computes “buffer zones” around autonomous vehicles and reassess them on the fly.

May 22, 2018

Delta Electronics Professor of Computer Science Regina Barzilay (left) gives a tutorial on the fundamentals of machine learning.

Applying machine learning to challenges in the pharmaceutical industry

MIT researchers and industry form new consortium to aid the drug discovery process.

May 17, 2018

Cleverly dividing information among multiple servers lets an MIT system protects the privacy of contributors to genomic databases in a way that is much more computationally efficient than standard cryptographic techniques.

Protecting confidentiality in genomic studies

Cryptographic system could enable “crowdsourced” genomics, with volunteers contributing information to privacy-protected databases.

May 7, 2018

A team of MIT researchers tested MapLite on a Toyota Prius outfitted with a range of LIDAR and IMU sensors.

Self-driving cars for country roads

Today’s autonomous vehicles require hand-labeled 3-D maps, but CSAIL’s MapLite system enables navigation with just GPS and sensors.

May 7, 2018

At CSAIL Suresh conducts research on personalized medicine and the societal implications of machine learning.

Building AI systems that make fair decisions

Harini Suresh, a PhD student at MIT CSAIL, studies how to make machine learning algorithms more understandable and less biased.

April 24, 2018

Vinod Vaikuntanathan is an associate professor of electrical engineering and computer science and a principal investigator in CSAIL.

Vinod Vaikuntanathan wins Edgerton Faculty Award

Electrical Engineering and Computer Science faculty member is honored for his innovative work in cybersecurity and his engaging teaching style.

April 23, 2018

Left to right: Sitan Chen, Lillian Chin, and Suchita Nety have been awarded 2018 Paul and Daisy Soros Fellowships for New Americans.

Three MIT graduate students awarded 2018 Paul and Daisy Soros Fellowships for New Americans

Award honors immigrants’ contributions to the United States.

April 17, 2018

To create complete road maps companies like Google often have to have employees take existing aerial images with incomplete information and manually fill in the gaps.

A new way to automatically build road maps from aerial images

“RoadTracer” system from the Computer Science and Artificial Intelligence Laboratory could reduce workload for developers of apps like Google Maps.

April 17, 2018

CSAIL PhD student Amy Zhang led the development of the new Squadbox tool.

Using friends to fight online harassment

CSAIL’s “Squadbox” uses “friendsourcing” to better support targets of cyberbullying.

April 5, 2018

Aude Oliva (right), a principal research scientist at the Computer Science and Artificial Intelligence Laboratory and Dan Gutfreund (left), a principal investigator at the MIT–IBM Watson AI Laboratory and a staff member at IBM Research, are the principal investigators for the Moments in Time Dataset, one of the projects related to AI algorithms funded by the MIT–IBM Watson AI Laboratory.

Artificial intelligence in action

At the MIT-IBM Watson AI Lab, researchers are training computers to recognize dynamic events.

April 4, 2018

MIT Professor Dina Katabi works on wireless systems for health-care monitoring.

Professor Dina Katabi wins Association for Computing Machinery Prize in Computing

Katabi receives prestigious honor and $250,000 cash prize for her contributions to wireless systems.