Computer science and technology

Sapple, a system developed at the MIT Computer Science and Artificial Intelligence Laboratory, analyzes in-home appliance usage to better understand health patterns, using just radio signals and a smart electricity meter.

What can your microwave tell you about your health?

An MIT system uses wireless signals to measure in-home appliance usage to better understand health tendencies.

May 18, 2020

Scanning electron micrograph of HIV-1 (in green) budding from a cultured lymphocyte

HIV genome bends over backwards to help virus take over cells

Differently shaped RNA molecules allow HIV to express different genes from the same RNA sequence.

May 11, 2020

Left to right: David Sabatini, Kerry Emanuel, and Peter Shor, 2020 recipients of BBVA Frontiers of Knowledge Awards

Kerry Emanuel, David Sabatini, and Peter Shor receive BBVA Frontiers of Knowledge awards

Laureates recognized for contributions to climate change, biomedicine, and quantum cryptography.

May 8, 2020

MIT researchers have developed a kind of creativity test for generative models to see how far they can go in visualizing objects in photos from various angles and in different colors. The tool shows how much the model's imagination depends on the variety of images it has seen.

Visualizing the world beyond the frame

Researchers test how far artificial intelligence models can go in dreaming up varied poses and colors of objects and animals in photos.

May 6, 2020

MIT researchers have proposed a technique for shrinking deep learning models that they say is simpler and produces more accurate results than state-of-the-art methods. It works by retraining the smaller, pruned model at its faster, initial learning rate.

A foolproof way to shrink deep learning models

Researchers unveil a pruning algorithm to make artificial intelligence applications run faster.

April 30, 2020

“These are truly unprecedented times,” says MIT Professor Tom Leighton, CEO and co-founder of Akamai Technologies. “The internet is being used at a scale that the world has never experienced.”

3 Questions: Tom Leighton on the major surge in internet traffic triggered by physical distancing

Mathematician and CEO of web services company Akamai looks ahead to how the pandemic-driven shift to remote working might change society.

April 27, 2020

MIT researchers have developed a new automated AI system with improved computational efficiency and a much smaller carbon footprint. The researchers’ system trains one large neural network comprising many pretrained subnetworks of different sizes that can be tailored to diverse hardware platforms without retraining.

Reducing the carbon footprint of artificial intelligence

MIT system cuts the energy required for training and running neural networks.

April 23, 2020

To reduce lag times and increase quality in video streaming, mobile gaming, and other web services, researchers at MIT’s Computer Science and Artificial Intelligence Laboratory have designed a congestion-control scheme for time-varying wireless links, such as cellular networks.

Reducing delays in wireless networks

Congestion control system could help streaming video, mobile games, and other applications run more smoothly.

April 9, 2020

MIT postdoc Michael Wessely shows off the SprayableTech prototype.

Sprayable user interfaces

CSAIL's SprayableTech system lets users create large-scale interactive surfaces with sensors and displays using airbrushed inks.

April 8, 2020

Left to right: Department of Mathematics Professor Alan Edelman, his co-instructor and family Corgi Philip, and visiting professor and longtime Julia lab collaborator David Sanders have altered their computational thinking course to encourage input on COVID-19 responses.

Computational thinking class enables students to engage in Covid-19 response

Nearly 300 students join an open course that applies data science, artificial intelligence, and mathematical modeling using the Julia language to study Covid-19.

April 7, 2020

Paradigm4 allows users to integrate data from sources like genomic sequencing, biometric measurements, environmental factors, and more into their inquiries to enable new discoveries across a range of life science fields.

Accelerating data-driven discoveries

Life science companies use Paradigm4’s unique database management system to uncover new insights into human health.

April 4, 2020

MIT joins a consortium of supercomputing resources to help speed the search for Covid-19 solutions.

MIT joins White House supercomputing effort to speed up search for Covid-19 solutions

Consortium includes industry, government, and academic institutions.

March 23, 2020

A simulation system invented at MIT to train driverless cars creates a photorealistic world with infinite steering possibilities, helping the cars learn to navigate a host of worse-case scenarios before cruising down real streets.

System trains driverless cars in simulation before they hit the road

Using a photorealistic simulation engine, vehicles learn to drive in the real world and recover from near-crash scenarios.

March 23, 2020

“I’ve recently encountered researchers at a loss for how to describe their visualizations in ways that make them more accessible. When visualizations appear in, say, textbooks, scientific publications, or educational materials, they might appear as braille translations of the image, but more often they appear as textual descriptions. But what is the best way to describe a visualization?,” sa...

3Q: Collaborating with users to develop accessible designs

An MIT team discusses the pitfalls of “parachute research” and the importance of “sociotechnical” factors.

March 13, 2020

Catherine D’Ignazio is the co-author of a new book, “Data Feminism,” published by MIT Press in March 2020.

The elephant in the server room

Catherine D’Ignazio’s new book, “Data Feminism,” examines problems of bias and power that beset modern information.

March 9, 2020

MIT News | Massachusetts Institute of Technology

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