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The Computer Science and Artificial Intelligence Laboratory – known as CSAIL ­– is the largest research laboratory at MIT and one of the world’s most important centers of information technology research.



by   -   June 27, 2017

MIT CSAIL team’s system of quadcopters that fly and drive suggest another approach to developing flying cars

by   -   June 2, 2017

Device provides information from a 3-D camera, via vibrating motors and a Braille interface.

by   -   May 10, 2017

MIT CSAIL approach allows robots to learn a wider range of tasks using some basic knowledge and a single demo.

by   -   April 12, 2017
MIT Professor Daniela Rus, director of CSAIL, said the goal of a new SystemsThatLearn@CSAIL initiative is “to create a new generation of AI tools that are deeply rooted in systems.” Photo: Jason Dorfman/MIT CSAIL

From self-driving cars to the internet of things, artificial intelligence (AI) has reached new levels of sophistication in recent years. With that in mind, this week MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) launched an industry collaboration focused on using machine learning to create functional human-like systems.

by   -   March 6, 2017
The feedback system enables human operators to correct the robot’s choice in real-time – Jason Dorfman, MIT CSAIL

For robots to do what we want, they need to understand us. Too often, this means having to meet them halfway: teaching them the intricacies of human language, for example, or giving them explicit commands for very specific tasks. But what if we could develop robots that were a more natural extension of us and that could actually do whatever we are thinking?

by   -   February 9, 2017

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

by   -   February 1, 2017

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

by   -   December 19, 2016
In 2016, MIT CSAIL researchers worked on a range of projects in robotics, theory, wireless technology, software systems, and other disciplines. Image: CSAIL
In 2016, MIT CSAIL researchers worked on a range of projects in robotics, theory, wireless technology, software systems, and other disciplines. Image: CSAIL

Machines that predict the future, robots that patch wounds and wireless emotion-detectors are just a few of the exciting projects that came out of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) this year. Here’s a sampling of 16 highlights from 2016 that span the many computer science disciplines that make up CSAIL.

by   -   December 5, 2016
PhD student Tao Du watching the bunnycopter take off . Image credit: Jason Dorfman, MIT CSAIL
PhD student Tao Du watching the bunnycopter take off . Image credit: Jason Dorfman, MIT CSAIL

This fall’s new FAA regulations have made drone flight easier than ever for both companies and consumers. But what if the drones out on the market aren’t exactly what you want?

A new system from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) is the first to allow users to design, simulate and build their own custom drone. Users can change the size, shape and structure of their drone based on the specific needs they have for payload, cost, flight time, battery usage and other factors.

by   -   November 28, 2016

Given a still image, CSAIL deep-learning system generates videos that predict what will happen next in a scene.

by   -   November 10, 2016

Self-driving scooter demonstrated at MIT complements autonomous golf carts and city cars.

by   -   October 18, 2016

Longtime professor and beloved advisor was known for advances in experimental and theoretical studies of vision, perception, and cognition.

by   -   October 13, 2016

“Foundry” tool from the Computer Science and Artificial Intelligence Lab lets you design a wide range of multi-material 3-D-printed objects.

by   -   October 3, 2016

By “programming” customized soft materials, the CSAIL team can 3-D print safer, nimbler, more durable robots.

by   -   September 21, 2016
From L-R: PhD Fadel Adib, PhD Mingmin Zhao and Professor Dina Katabi demonstrating different 'emotions' like the picture. Credit: Jason Dorfman, MIT CSAIL
From L-R: PhD Fadel Adib, PhD Mingmin Zhao and Professor Dina Katabi demonstrating different ’emotions’ like the picture. Credit: Jason Dorfman, MIT CSAIL

By measuring your heartbeat and breath, this device from MIT’s Computer Science and Artificial Intelligence Lab can tell if you’re excited, happy, angry or sad
.