Machine learning

Anantha Chandrakasan, dean of MIT’s School of Engineering, who negotiated the collaboration on behalf of MIT, speaks during the signing of the agreement with representatives of IBM.

3Q: Anantha Chandrakasan on new MIT–IBM Watson AI Lab

Lab seeks to expand the boundaries of research on artificial intelligence.

September 7, 2017

MIT President L. Rafael Reif, left, and John Kelly III, IBM senior vice president, Cognitive Solutions and Research, shake hands at the conclusion of a signing ceremony establishing the new MIT–IBM Watson AI Lab.

IBM and MIT to pursue joint research in artificial intelligence, establish new MIT-IBM Watson AI Lab

IBM plans to make a 10-year, $240 million investment in new lab with MIT to advance AI hardware, software, and algorithms.

September 7, 2017

ComText allows robots to understand contextual commands such as, “Pick up the box I put down.”

Robot learns to follow orders like Alexa

ComText, from the Computer Science and Artificial Intelligence Laboratory, allows robots to understand contextual commands.

August 30, 2017

A new system can automatically retouch images in the style of a professional photographer. It can run on a cellphone and display retouched images in real time.

Automatic image retouching on your phone

System can apply a range of styles in real-time, so that the viewfinder displays the enhanced image.

August 1, 2017

The Varanasi research group visits the MIT Central Utilities Plant cooling towers, where they will test their water-recapture technology with support from the new Campus Sustainability Incubator Fund.

New fund makes MIT a living sustainability lab

MIT Office of Sustainability announces awards to multi-departmental projects that test management, design, and operations solutions on campus.

July 21, 2017

Pic2Recipe, an artificial intelligence system developed at MIT, can take a photo of an entree and suggest a similar recipe to it.

Artificial intelligence suggests recipes based on food photos

Given a still image of a dish filled with food, CSAIL team's deep-learning algorithm recommends ingredients and recipes.

July 20, 2017

Localizing ground-penetrating radar (LGPR) developed at MIT Lincoln Laboratory uses inherently stable subsurface features and their geolocation to locate a vehicle, even in adverse weather conditions. Below the surface, an earlier map can be seen in gray on the left, while a current scan is shown in light blue under the vehicle, and the registered data is shown in blue and green behind the vehicle...

Lincoln Laboratory enters licensing agreement to produce its localizing ground-penetrating radar

Commercial prototypes of the system will be available to the self-driving vehicle industry.

July 18, 2017

MIT researchers have designed new methods for paring down neural networks so that they’ll run more efficiently on handheld devices.

Bringing neural networks to cellphones

Method for modeling neural networks’ power consumption could help make the systems portable.

July 18, 2017

$Engineers at MIT have taken a first step in designing a computer chip that uses a fraction of the power of larger drone computers and is tailored for a drone as small as a bottlecap.$

Miniaturizing the brain of a drone

Method for designing efficient computer chips may get miniature smart drones off the ground.

July 11, 2017

By comparing 1.6 million pairs of photos taken seven years apart, researchers have now used a new computer vision system to quantify the physical improvement or deterioration of neighborhoods in five American cities, in an attempt to identify factors that predict urban change. Pictured are two street views, with the old photograph on the left and the new photograph on the right.

Why do some neighborhoods improve?

Density of highly educated residents, rather than income or housing costs, predicts revitalization.

July 6, 2017

A new computer system predicts the products of chemical reactions. “The vision is that you’ll be able to walk up to a system and say, ‘I want to make this molecule.’ The software will tell you the route you should make it from, and the machine will make it,” says professor Klavs Jensen.

Computer system predicts products of chemical reactions

Machine learning approach could aid the design of industrial processes for drug manufacturing.

June 27, 2017

Graduate student Maria Zawadowicz is researching the interrelationship of particulate matter and cloud formation in the Cziczo Lab.

Measuring biological dust in the wind

A technique developed in the Cziczo Lab may be the most accurate way of identifying biological aerosols from mineral dust in the atmosphere and analyzing their contribution to cloud formation and climate change.

June 20, 2017

MIT President Reif attends White House technology meeting

Conference convened by the White House Office of American Innovation includes leading corporate CEOs and other technology leaders.

June 19, 2017

Researchers at MIT and Massachusetts General Hospital have designed a new system that can efficiently search through hundreds of hours of video of laparoscopic surgeries to identify relevant events and visual features.

Shrinking data for surgical training

Technique that reduces video files to one-tenth their initial size enables speedy analysis of laparoscopic procedures.

June 16, 2017

A GelSight sensor attached to a robot’s gripper enables the robot to determine precisely where it has grasped a small screwdriver, removing it from and inserting it back into a slot, even when the gripper screens the screwdriver from the robot’s camera.

Giving robots a sense of touch

GelSight technology lets robots gauge objects’ hardness and manipulate small tools.

June 5, 2017

MIT News | Massachusetts Institute of Technology

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