Search Stories

MIT researchers have developed a new approach to training speech-recognition systems that doesn’t depend on transcription. Instead, their system analyzes correspondences between images and spoken descriptions of those images, as captured in a large collection of audio recordings.

Learning words from pictures

System correlates recorded speech with images, could lead to fully automated speech recognition.

December 6, 2016

Tomaso Poggio, a professor of brain and cognitive sciences at MIT and director of the Center for Brains, Minds, and Machines, has long thought that the brain must produce “invariant” representations of faces and other objects, meaning representations that are indifferent to objects’ orientation in space, their distance from the viewer, or their location in the visual field.

How the brain recognizes faces

Machine-learning system spontaneously reproduces aspects of human neurology.

December 1, 2016

Given a still image from a scene, new deep-learning algorithm can create a brief video that simulates the future of that scene.

Creating videos of the future

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

November 29, 2016

New Kendall Wi-Fi supports Kendall Square and nearby residential areas

Free high-speed outdoor internet service implemented by MIT and partners.

November 28, 2016

Clockwise from top left: Kevin Zhou; Matthew Cavuto; Zach Hulcher; and Daniel Zuo

Four MIT students named 2017 Marshall Scholars

Matthew Cavuto, Zachary Hulcher, Kevin Zhou, and Daniel Zuo will pursue two years of study in the U.K.

November 28, 2016

Left to right: Robert Stoner, deputy director of the MIT Energy Initiative and director of the Tata Center for Technology and Design; Maria Zuber, MIT vice president for research; Joi Ito, director of the MIT Media Lab; and John Fernandez, professor of architecture and director of MIT's Environmental Solutions Initiative.

Forging ahead on climate action

At UN Climate Change Conference, MIT researchers share insights on implementing climate commitments.

November 22, 2016

Ali Jadbabaie is the JR East Professor of Engineering in the Department of Civil and Environmental Engineering, the associate director of the Institute for Data, Systems, and Society (IDSS), and the director of one of its parts, the Sociotechnical Systems Research Center. “Our focus is on addressing large societal problems, whether they be power systems and energy systems, or social networks, or...

Tackling society’s big problems with systems theory

Ali Jadbabaie seeks to optimize large-scale systems, from social networks to teams of people or devices.

November 14, 2016

MIT chemists have determined the structure of a bacterial enzyme that can produce biodegradable plastics, an advance that could help chemical engineers tweak the enzyme to make it even more industrially useful.

A step toward biodegradable plastics

Chemists discover structure of bacterial enzyme that generates useful polymers.

November 11, 2016

Real estate innovation by the numbers

Real Estate Innovation Lab to promote the future of urban development by showing investors how it can work.

November 3, 2016

Glen Merfeld, product science leader at GE Global Research, points to almost 40,000 wind turbines installed globally during the 2016 Materials Day Symposium at MIT.

Battery challenges: cost and performance

Industry speakers and MIT faculty offer solutions to problems ranging from small portable devices to large fixed installations.

November 2, 2016

Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have devised a way to train neural networks so that they provide not only predictions and classifications but rationales for their decisions.

Making computers explain themselves

New training technique would reveal the basis for machine-learning systems’ decisions.

October 27, 2016

A team, including researchers from MIT’s Computer Science and Artificial Intelligence Laboratory, has created a new set of algorithms that can efficiently fit probability distributions to high-dimensional data.

Finding patterns in corrupted data

New model-fitting technique is efficient even for data sets with hundreds of variables.

October 26, 2016

Researchers used sample images, like the ones on the top row, to identify several visual features that are highly correlated with judgments that a particular area is safe or unsafe. The left side shows a low level of safety while the right shows a high level. Highlighted areas on the middle row show “unsafe” areas while the bottom row shows “safe” areas in the image.

Quantifying urban revitalization

Combining cellphone data with perceptions of public spaces could help guide urban planning.

October 24, 2016

“The goal of all this is to present the interesting stuff to the data scientists so that they can more quickly address all these new data sets that are coming in,” says Max Kanter MEng ’15.

Automating big-data analysis

With new algorithms, data scientists could accomplish in days what has traditionally taken months.

October 21, 2016

“MIT is wonderful because in addition to [finding] an amazing home in economics, I can talk with and learn from a lot of people on the science side,” says Heidi Williams, the Class of 1957 Career Development Associate Professor in MIT’s Department of Economics.
MIT professor Heidi Williams

Making a splash in health care economics

Heidi Williams builds all-new data sets to answer questions about innovation and biomedical research.

October 18, 2016

MIT News | Massachusetts Institute of Technology

Browse By

Topics

Departments

Centers, Labs, & Programs

Schools