Computer Science and Artificial Intelligence Laboratory (CSAIL)

Jehangir Amjad's project merges his passion for the game of cricket and his fascination with operations research.

A game changer takes on cricket’s statistical problem

Laboratory for Information and Decision Systems alumnus and CSAIL lecturer Jehangir Amjad uses statistical methods to predict likely outcomes with limited data.

September 20, 2018

An MIT system uses an algorithm that can take 2-D videos and turn them into 3-D-printed “motion sculptures” that show how a human body moves through space.

Creating 3-D-printed “motion sculptures” from 2-D videos

CSAIL system could help athletes, dancers, and others better analyze how they move.

September 18, 2018

Anant Agarwal is the CEO of edX, an online learning destination founded by MIT and Harvard. He has served as the director of CSAIL, MIT's Computer Science and Artificial Intelligence Laboratory, and is a professor of electrical engineering and computer science at MIT.

Anant Agarwal, MIT professor and edX CEO, wins Yidan Prize

Agarwal is recognized for making education more accessible to people around the world, via edX open-source online platform.

September 18, 2018

MIT computer scientists have developed a system that learns to identify objects within an image, based on a spoken description of the image.

Machine-learning system tackles speech and object recognition, all at once

Model learns to pick out objects within an image, using spoken descriptions.

September 18, 2018

MIT researchers have developed a module that helps artificial-intelligence systems fill in the gaps between video frames to improve activity recognition.

Helping computers fill in the gaps between video frames

Machine learning system efficiently recognizes activities by observing how objects change in only a few key frames.

September 13, 2018

PhD student Lucas Manuelli worked with lead author Pete Florence to develop a system that uses advanced computer vision to enable a Kuka robot to pick up virtually any object.

Robots can now pick up any object after inspecting it

Breakthrough CSAIL system suggests robots could one day be able to see well enough to be useful in people’s homes and offices.

September 10, 2018

MIT researchers have developed a neural-network model that can analyze raw text and audio data from interviews to discover speech patterns indicative of depression. This method could be used to develop diagnostic aids for clinicians that can detect signs of depression in natural conversation.

Model can more naturally detect depression in conversations

Neural network learns speech patterns that predict depression in clinical interviews.

August 29, 2018

MIT researchers have developed a machine-learning model that groups patients into subpopulations by health status to better predict a patient’s risk of dying during their stay in the ICU. This technique outperforms "global" mortality-prediction models and reveals performance disparities of those models across specific patient subpopulations.

Model improves prediction of mortality risk in ICU patients

By training on patients grouped by health status, neural network can better estimate if patients will die in the hospital.

August 29, 2018

Julia 1.0, developed and incubated at MIT, was officially released to the public during JuliaCon, an annual conference of Julia users held recently in London.

MIT-created programming language Julia 1.0 debuts

The dynamic programming language, which is free and open source, combines the speed and popular features of the best scientific and technical software.

August 27, 2018