Artificial intelligence

Building better trust between humans and machines

MIT-SUTD researchers are creating improved interfaces to help machines and humans work together to complete tasks.

June 21, 2016

From MIT CSAIL: The left-most column shows the frame before the action begins, with the algorithm's prediction below it. The right columns show the next frames of the video.

Teaching machines to predict the future

Deep-learning vision system from the Computer Science and Artificial Intelligence Lab anticipates human interactions using videos of TV shows.

June 21, 2016

Artificial intelligence produces realistic sounds that fool humans

Video-trained system from MIT’s Computer Science and Artificial Intelligence Lab could help robots understand how objects interact with the world.

June 13, 2016

MIT researchers will present a new, decentralized planning algorithm for teams of robots that factors in not only stationary obstacles, but moving obstacles, as well. The algorithm still comes with strong mathematical guarantees that the robots will avoid collisions.

Robotic consensus

Control algorithm for teams of robots factors in moving obstacles.

April 21, 2016

The goal of MIT's "Duckiebot" class was to create a fleet of 50 self-driving taxis that can navigate the roads of a model city with just a single on-board camera and no pre-programmed maps.

Self-driving cars, meet rubber duckies

“Duckietown” class at Computer Science and Artificial Intelligence Lab teaches autonomy, aims to become global research platform.

April 20, 2016

AI<sup>2</sup> combs through data and detects suspicious activity using unsupervised machine-learning. It then presents this activity to human analysts, who confirm which events are actual attacks, and incorporate that feedback into its models for the next set of data.

System predicts 85 percent of cyber-attacks using input from human experts

Virtual artificial intelligence analyst developed by the Computer Science and Artificial Intelligence Lab and PatternEx reduces false positives by factor of 5.

April 18, 2016

This 3-D hexapod robot moves via a single motor, which spins a crankshaft that pumps fluid to the robot’s legs. Besides the motor and battery, every component is printed in a single step with no assembly required.

First-ever 3-D printed robots made of both solids and liquids

System from Computer Science and Artificial Intelligence Lab 3-D prints hydraulically-powered robot bodies, with no assembly required.

April 6, 2016

A prototype of a new speech-controlled nutrition-logging system allows users to verbally describe the contents of a meal. The system then parses the description and automatically retrieves the pertinent nutritional data.

Voice-controlled calorie counter

Spoken-language app makes meal logging easier, could aid weight loss.

March 24, 2016

Communication system could make it easier to design systems that enable humans and robots to work together in emergency-response teams.

Enabling human-robot rescue teams

System could help prevent robots from overwhelming human teammates with information.

February 17, 2016

“The problem with planning contingencies is that there are so many things that can go wrong, if you generated plans for all possible contingencies, you’d go nuts,” Brian Williams says.

Automatic contingency planning

Algorithm lets planning systems generate backup plans efficiently.

February 15, 2016

Bryan Reimer (left), associate director of the MIT New England University Transportation Center, speaks with Mark Rosalind, administrator of the National Highway Traffic Safety Administration, at “The Present and Future of Automated Driving.”

Car talk

At MIT, federal safety chief discusses future of automated driving.

February 10, 2016

MIT researchers have designed a new chip to implement neural networks. It is 10 times as efficient as a mobile GPU, so it could enable mobile devices to run powerful artificial-intelligence algorithms locally, rather than uploading data to the Internet for processing.

Energy-friendly chip can perform powerful artificial-intelligence tasks

Advance could enable mobile devices to implement “neural networks” modeled on the human brain.

February 3, 2016

A new chip could enable devices that help visually impaired users navigate their environments.

A virtual “guide dog” for navigation

Low-power chip processes 3-D camera data, could enable wearable device to guide the visually impaired.

February 2, 2016

Marvin Minsky, “father of artificial intelligence,” dies at 88

Professor emeritus was a co-founder of CSAIL and a founding member of the Media Lab.

January 25, 2016

Researchers have developed a computational model of visual representation intended to reflect the way the brain works.

Machines that learn like people

Algorithms could learn to recognize objects from a few examples, not millions; may better model human cognition.

December 23, 2015

MIT News | Massachusetts Institute of Technology

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