Machine learning

A new MIT computer system speeds computations involving “sparse tensors,” multidimensional data arrays that consist mostly of zeroes.

Faster big-data analysis

System for performing “tensor algebra” offers 100-fold speedups over previous software packages.

October 30, 2017

“I think that the concept of massive and open data science can be really leveraged for areas where there’s a strong social impact but not necessarily a single profit-making or government organization that is coordinating responses,” MIT graduate student Micah Smith says about FeatureHub.

Crowdsourcing big-data analysis

Web-based system automatically evaluates proposals from far-flung data scientists.

October 30, 2017

MIT Plasma Science and Fusion Center principal research scientist Robert Granetz.

3 Questions: Robert Granetz on fusion research

MIT research scientist is exploring how machine learning can predict and prevent disruptions in reactors.

October 10, 2017

A new system from MIT's Computer Science and Artificial Intelligence Laboratory works by analyzing light at the edge of walls, which is impacted by the reflections of objects around the corner from the camera.

An algorithm for your blind spot

Using smartphone cameras, system for seeing around corners could help with self-driving cars and search-and-rescue.

October 9, 2017

A new machine-learning system analyzes successful repairs to buggy software and learns how to repair new bugs.

Bug-repair system learns from example

Automatic code-patching system corrects nearly twice as many errors as its predecessors.

September 28, 2017

New leadership for MIT-IBM Watson AI Lab

Computer vision and machine learning expert Antonio Torralba to lead new artificial intelligence research lab.

September 20, 2017

Identifying optimal product prices

New research describes a price-optimization method to increase online retailers’ revenue, market share, and profit.

September 18, 2017

Researchers will present a new general-purpose technique for making sense of neural networks trained to perform natural-language-processing tasks, in which computers attempt to interpret freeform texts written in ordinary, or natural language (as opposed to a programming language, for example).

How neural networks think

General-purpose technique sheds light on inner workings of neural nets trained to process language.

September 8, 2017

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

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