Computer Science and Artificial Intelligence Laboratory (CSAIL)

“This is a great class of new NAE members who are affiliated with MIT,” says Ian A. Waitz, dean of the School of Engineering and the Jerome C. Hunsaker Professor in the Department of Aeronautics and Astronautics.

Eight MIT faculty elected to the National Academy of Engineering

New members have made advances in artificial skin, wireless communications, nanotechnology, hydrology, and cancer treatment.

February 10, 2017

Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory are trying to improve automated planners by giving them the benefit of human intuition. By encoding the strategies of high-performing human planners in a machine-readable form, they were able to improve the performance of competition-winning planning algorithms by between 10 and 15 percent on a challenging set of prob...

Researchers add a splash of human intuition to planning algorithms

Incorporating strategies from skilled human planners improves automatic planners’ performance.

February 7, 2017

MIT Professor Tom Leighton (left) and the late Danny Lewin SM '97 have been named to the National Inventors Hall of Fame.

Professor Tom Leighton and Danny Lewin SM ’98 named to National Inventors Hall of Fame

Akamai founders honored for applying algorithms to solve web congestion.

February 2, 2017

PhD candidate Mohammad Ghassemi (left) and graduate student Tuka Alhanai's system can detect the tone of a conversation using a wearable device.

Wearable AI system can detect a conversation's tone

Coupled with audio and vital-sign data, deep-learning system could someday serve as a “social coach” for people with anxiety or Asperger’s.

February 1, 2017

“Everybody said it was going to be too hard, that you’d have to change the whole compiler,” MIT professor Charles E. Leiserson says. “And these guys basically showed that conventional wisdom to be flat-out wrong.”

Optimizing code

Modifying the “middle end” of a popular compiler yields more-efficient parallel programs.

January 30, 2017

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

Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory and its Laboratory for Information and Decision Systems have designed a new algorithm that makes it much more practical to select diverse subsets from a much larger dataset.

Data diversity

Preserving variety in subsets of unmanageably large data sets should aid machine learning.

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

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