Networks

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

PhD Ezzeldin Hamed, professor Dina Katabi, and visiting researcher Hariharan Rahul developed MegaMIMO to address spectrum crunch.

Solving network congestion

MegaMIMO system from the Computer Science and Artificial Intelligence Lab speeds data transfer by coordinating multiple routers at the same time.

August 23, 2016

“You need to have the ability for researchers and engineers to try out thousands of ideas,” says Hari Balakrishnan, the Fujitsu Professor in Electrical Engineering and Computer Science at MIT. “With this platform, you become constrained not by hardware or technological limitations, but by your creativity. You can innovate much more rapidly.”

Programmable network routers

New design should enable much more flexible traffic management, without sacrificing speed.

August 23, 2016

“We don’t necessarily want [air traffic controllers] to spend the bandwidth on processing 40 pieces of information. Instead, we can tell them the three top choices,” says Hamsa Balakrishnan, associate professor of aeronautics and astronautics at MIT and a member of MIT’s Institute for Data, Systems, and Society.

Ready for takeoff

Hamsa Balakrishnan develops algorithms to reduce airport congestion.

July 15, 2016

“It’s intuitive that if a bunch of people are randomly walking around an area, the number of times they bump into each other will be a surrogate of the population density,” says Cameron Musco, an MIT graduate student in electrical engineering and computer science. “What we’re doing is giving a rigorous analysis behind that intuition, and also saying that the estimate is a very good estim...

Exploring networks efficiently

Analysis of ant colony behavior could yield better algorithms for network communication.

July 13, 2016

Clusters of four or more small satellites could look at a single location on Earth from multiple angles, and measure that location’s total reflectance with an error that is half that of single satellites in operation today, an MIT-led study suggests.

Better views with smaller satellites

Batches of shoebox-sized satellites could improve estimates of Earth’s reflected energy.

July 12, 2016

Researchers at MIT and the École Polytechnique Fédérale de Lausanne have developed a new anonymity scheme that provides strong security guarantees but uses bandwidth much more efficiently than its predecessors.

How to stay anonymous online

Network can protect users’ anonymity if all but one of its servers are compromised.

July 11, 2016

“The City of Tomorrow: Sensors, Networks, Hackers, and the Future of Urban Life” (Yale University Press), co-written by Carlo Ratti (pictured), director of the Senseable City Lab and a professor of the practice in MIT’s Department of Urban Studies and Planning.

Cities of tomorrow

New book by Senseable City Lab researchers presents vision of data-driven urban design.

July 5, 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

Using new models and big data to better understand financial risk

Bringing together engineers, data theorists, mathematicians, economists, biologists, and policy experts, IDSS is looking at financial risk through a multidisciplinary lens.

April 11, 2016

Using data from social networks to understand and improve systems

Researchers in IDSS are learning how ideas evolve over networks, quantifying the influence of individuals in networks, and making better predictions.

April 7, 2016

For a demo at a local cafe, the Chronos system was 97 percent accurate in distinguishing in-store customers from out-of-store intruders — meaning it could be used to prevent non-customers from stealing WiFi.

Wireless tech means safer drones, smarter homes and password-free WiFi

System from MIT’s Computer Science and Artificial Intelligence Lab enables single WiFi access point that can locate users within tens of centimeters.

March 31, 2016

System loads Web pages 34 percent faster by fetching files more effectively

"Polaris" system from MIT's Computer Science and Artificial Intelligence Lab accelerates website load-time by decreasing network trips.

March 9, 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

MIT News | Massachusetts Institute of Technology

Browse By

Topics

Departments

Centers, Labs, & Programs

Schools

Topic