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Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory and its Laboratory for Information and Decision Systems have designed a new algorithm that makes it much more practical to select diverse subsets from a much larger dataset.

Data diversity

Preserving variety in subsets of unmanageably large data sets should aid machine learning.

December 16, 2016

A new technique devised by MIT researchers can take data sets with huge numbers of variables and find approximations of them with far fewer variables.

Making big data manageable

Technique shrinks data sets while preserving their fundamental mathematical relationships.

December 14, 2016

The fifteen teams that made their pitches included MIT faculty, students, and alumni. Participants came from every major unit of the School of Architecture and Planning, as well as the MIT Sloan School of Management and the Schools of Science and Engineering.

DesignX selects first cohort

Eight student teams join MIT’s newest entrepreneurship accelerator.

December 14, 2016

“I see starting a company not only as an option, but the option,” says graduate student Keertan Kini. “It’s a way to make sustainable change in the world.”

Helping policy and technology work together

Engineering grad student Keertan Kini is working to strengthen the intersection of policy and technology.

December 12, 2016

Clockwise from top left: MIT professors Erik Demaine, Fredo Durand, Daniel Jackson, and William Freeman.

Four CSAIL researchers named ACM fellows

Association for Computer Machinery cites Erik Demaine, Fredo Durand, William Freeman, and Daniel Jackson for having "provided key knowledge" to computing.

December 8, 2016

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

MAX, a fledgling Nigerian startup, is trying to solve the problem of so-called “last-mile delivery” in cities where many people don’t have an address. Company co-founder Adetayo Bamiduro MBA ’15 will tell MAX’s story to a London audience at an upcoming MIT conference on entrepreneurship and finance in the developing world.

In London, extending MIT’s entrepreneurial ecosystem

Five events build connections between industry, startups, governments, faculty members, and financiers.

December 5, 2016

A four-rotor "bunnycopter" developed at MIT's Computer Science and Artificial Intelligence Laboratory features propellers at different heights.

Design your own custom drone

CSAIL system lets users design and fabricate drones with a wide range of shapes and structures.

December 5, 2016

“We make sense of the world through stories, and we remember the world through experience. That’s how it works as human beings. I am telling a story and making people live an experience at the same time,” says MIT Visiting Artist Karim Ben Khelifa.

Face to face with "The Enemy"

Visiting Artist Karim Ben Khelifa creates immersive experiences using virtual and augmented reality to humanize soldiers in global conflicts.

December 2, 2016

The researchers’ neural network was fed video from 26 terabytes of video data downloaded from the photo-sharing site Flickr. Researchers found the network can interpret natural sounds in terms of image categories. For instance, the network might determine that the sound of birdsong tends to be associated with forest scenes and pictures of trees, birds, birdhouses, and bird feeders.

Computer learns to recognize sounds by watching video

Machine-learning system doesn’t require costly hand-annotated data.

December 2, 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

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

Tamara Broderick, assistant professor of electrical engineering and computer science at MIT, was a presenter at the 2016 Machine Intelligence Summit.

Meeting of the minds for machine intelligence

Industry leaders, computer scientists, and venture capitalists gather to discuss how smarter computers are remaking our world.

November 22, 2016

2016 MIT AAAS Fellows: (clockwise from top left) William Green, Wolfgang Ketterle, Howard Shrobe, and Elly Nedivi.

Four MIT faculty elected 2016 AAAS Fellows

Green, Ketterle, Nedivi, and Shrobe are among those recognized for their efforts toward advancing science.

November 21, 2016

CoolThink@JC will target 16,000 students at 32 primary schools across the city of Hong Kong, offering tools and expertise to boost computational thinking abilities. Insights from the initiative, being done in collaboration with MIT and others, will eventually inform the development of curriculum for all Hong Kong teachers and students.

Teaching Hong Kong students to embrace computational thinking

Powered by MIT expertise and regional universities, CoolThink@JC will offer training to primary teachers and students at 32 schools.

November 15, 2016

MIT News | Massachusetts Institute of Technology - On Campus and Around the world

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