Computer Science and Artificial Intelligence Laboratory (CSAIL)

Fadel Adib has joined the Media Lab faculty to head the new research group Signal Kinetics.

Fadel Adib joins Media Lab faculty

Adib is directing a new research group at the Media Lab, aiming to uncover, analyze, and engineer natural and human-made networks.

January 27, 2017

Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory have designed a new system that automatically handles caching of database queries for web applications written in the web-programming language Ur/Web.

Faster websites with fewer bugs

System that automatically handles database caching in server farms increases speed and reliability.

January 20, 2017

Professor Daniela Rus stands with autonomous SMART vehicles on the MIT campus.

SMART automation

MIT Professor Daniela Rus combines automation and mobility to create a smarter world.

January 19, 2017

A new system called Data Civilizer automatically finds connections among many different data tables and allows users to perform database-style queries across all of them. The results of the queries can then be saved as new, orderly data sets that may draw information from dozens or even thousands of different tables.

Taming data

System finds and links related data scattered across digital files, for easy querying and filtering.

January 19, 2017

MapD is a type of commonly used database-management system modified to run on GPUs instead of CPUs, which power most traditional database-management systems. MapD can process billions of data points in milliseconds, making it 100 times faster than those traditional systems, and visualizes that data near instantaneously.

Split-second data mapping

New type of database-analytics platform queries and maps billions of data points in milliseconds.

January 11, 2017

“There’s a close correspondence between the behavior of networks of computers or other devices like mobile phones and that of biological systems,” says MIT professor Nancy Lynch. “We’re trying to find problems that can benefit from this distributed-computing perspective, focusing on algorithms for which we can prove mathematical properties.”

Model sheds light on purpose of inhibitory neurons

Study suggests computational role for neurons that prevent other neurons from firing.

January 9, 2017

A new MIT system first creates a graph of vehicles (circles) and ride requests (stars) in a city, and then uses a method called “integer linear programming” to compute the best assignment of vehicles to trips.

How ride-sharing can improve traffic, save money, and help the environment

Study shows carpooling apps could reduce congestion by a factor of three while still serving the same number of people.

January 4, 2017

In 2016, MIT CSAIL researchers worked on a range of projects in robotics, theory, wireless technology, software systems, and other disciplines.

Ingestible robots, glasses-free 3-D, and computers that explain themselves

A look at 16 of the coolest things that happened at the Computer Science and Artificial Intelligence Laboratory in 2016.

December 16, 2016

A new technique devised by MIT researchers can take data sets with huge numbers of variables and find approximations of them with far fewer variables.

Making big data manageable

Technique shrinks data sets while preserving their fundamental mathematical relationships.

December 14, 2016

“I see starting a company not only as an option, but the option,” says graduate student Keertan Kini. “It’s a way to make sustainable change in the world.”

Helping policy and technology work together

Engineering grad student Keertan Kini is working to strengthen the intersection of policy and technology.

December 12, 2016

Clockwise from top left: MIT professors Erik Demaine, Fredo Durand, Daniel Jackson, and William Freeman.

Four CSAIL researchers named ACM fellows

Association for Computer Machinery cites Erik Demaine, Fredo Durand, William Freeman, and Daniel Jackson for having "provided key knowledge" to computing.

December 8, 2016

MIT researchers have developed a new approach to training speech-recognition systems that doesn’t depend on transcription. Instead, their system analyzes correspondences between images and spoken descriptions of those images, as captured in a large collection of audio recordings.

Learning words from pictures

System correlates recorded speech with images, could lead to fully automated speech recognition.

December 6, 2016

A four-rotor "bunnycopter" developed at MIT's Computer Science and Artificial Intelligence Laboratory features propellers at different heights.

Design your own custom drone

CSAIL system lets users design and fabricate drones with a wide range of shapes and structures.

December 5, 2016

“We make sense of the world through stories, and we remember the world through experience. That’s how it works as human beings. I am telling a story and making people live an experience at the same time,” says MIT Visiting Artist Karim Ben Khelifa.

Face to face with "The Enemy"

Visiting Artist Karim Ben Khelifa creates immersive experiences using virtual and augmented reality to humanize soldiers in global conflicts.

December 2, 2016

The researchers’ neural network was fed video from 26 terabytes of video data downloaded from the photo-sharing site Flickr. Researchers found the network can interpret natural sounds in terms of image categories. For instance, the network might determine that the sound of birdsong tends to be associated with forest scenes and pictures of trees, birds, birdhouses, and bird feeders.

Computer learns to recognize sounds by watching video

Machine-learning system doesn’t require costly hand-annotated data.