Computer Science and Artificial Intelligence Laboratory (CSAIL)

A new AI system can look at an image and determine which set of pixels are responsible for making specific sets of soundwaves.

An AI system for editing music in videos

Given a video of a musical performance, CSAIL’s deep-learning system can make individual instruments louder or softer.

July 5, 2018

A system developed at MIT allows a human supervisor to correct a robot's mistakes using gestures and brainwaves.

How to control robots with brainwaves and hand gestures

Computer Science and Artificial Intelligence Laboratory system enables people to correct robot mistakes on multiple-choice tasks.

June 20, 2018

MIT researchers describe a machine-learning algorithm that can register brain scans and other 3-D images more than 1,000 times more quickly using novel learning techniques.

Faster analysis of medical images

Algorithm makes the process of comparing 3-D scans up to 1,000 times faster.

June 18, 2018

MIT Professor and CSAIL Director Daniela Rus (left) and iFlyTek Chairman and CEO Qingfeng Liu sign a five-year research agreement between the two organizations.

CSAIL launches new five-year collaboration with iFlyTek

Lab will work with Chinese company on research in artificial intelligence, language processing, and human-computer interaction.

June 15, 2018

Using wireless signals, RF-Pose could serve as a health care system to monitor patients' movements from the other side of a wall.

Artificial intelligence senses people through walls

Wireless smart-home system from the Computer Science and Artificial Intelligence Laboratory could monitor diseases and help the elderly “age in place.”

June 12, 2018

MIT announces leadership of its Quest for Intelligence

Faculty from across the Institute tapped to lead new initiative in human and machine intelligence.

June 11, 2018

Michel Goemans named head of the Department of Mathematics

Award-winning applied mathematician and professor has served as interim department head for the past year.

May 31, 2018

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.