Computer Science and Artificial Intelligence Laboratory (CSAIL)

A new algorithm, called the Fast Loaded Dice Roller (FLDR), simulates the roll of dice to produce random integers. The dice, in this case, could have any number of sides, and they are “loaded,” or weighted, to make some sides more likely to come up than others.

Algorithm quickly simulates a roll of loaded dice

Approach for generating numbers at random may help analyses of complex systems, from Earth’s climate to financial markets.

May 28, 2020

Microsoft President Brad Smith’s conversation with MIT Professor Daniela Rus on May 14 spanned a wide range of topics, from the challenges of Covid-19 to the security of online voting. The event was held as part of MIT’s “Hot Topics in Computing” series.

Microsoft President Brad Smith talks data, Covid-19, and a potential “digital 9/11”

Smith spoke with CSAIL Director Daniela Rus as part of a special series co-presented by the MIT Schwarzman College of Computing.

May 21, 2020

White blood cells are among the first to mount an attack against sepsis, a deadly complication of Covid-19. In a project led by MIT Professor Daniela Rus, researchers are developing a machine learning system to detect an activated immune response to sepsis which could lead to earlier, more aggressive treatment. Here, a white blood cell attacks malaria.

Marshaling artificial intelligence in the fight against Covid-19

The MIT-IBM Watson AI Lab is funding 10 research projects aimed at addressing the health and economic consequences of the pandemic.

May 19, 2020

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

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

Abhijit Banerjee, Bonnie Berger, and Roger Summons (left to right) are new members of the National Academy of Sciences.

Three from MIT elected to the National Academy of Sciences for 2020

Faculty members Abhijit Banerjee, Bonnie Berger, and Roger Summons elected by peers for outstanding contributions to research.

May 1, 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

MIT researchers used machine learning to find entirely new algorithms for encoding exploration. Their machine-designed algorithms outperformed human-designed algorithms on the wide range of simulated tasks and environments shown here.

Automating the search for entirely new “curiosity” algorithms

Researchers show that computers can “write” algorithms that adapt to radically different environments better than algorithms designed by humans.

April 28, 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

Lead author Joseph DelPreto controls a "Conduct-A-Bot" drone with his arm muscles.

Muscle signals can pilot a robot

CSAIL's Conduct-A-Bot system uses muscle signals to cue a drone’s movement, enabling more natural human-robot communication.

April 27, 2020

Six from MIT elected to American Academy of Arts and Sciences for 2020

Prestigious honor society announces more than 250 new members.

April 24, 2020

A new hospital status app aims to balance hospitals’ Covid-19 load. Based on crowdsourced data, the app gives patients, EMTs, and physicians tools to report and check on availability of hospital resources, from ventilators and ICU beds to average wait times.

Reporting tool aims to balance hospitals’ Covid-19 load

Based on crowdsourced data, app helps patients, EMTs, and physicians determine real-time availability of hospital resources.

April 23, 2020

Jim Collins, the Termeer Professor of Medical Engineering and Science in MIT’s Institute for Medical Engineering and Science and the Department of Biological Engineering, is the recipient of funding from The Audacious Project to harness AI for drug discovery.

Jim Collins receives funding to harness AI for drug discovery

The Audacious Project commitment will support the development of new classes of antibiotics to treat the world’s deadliest bacterial pathogens.

April 22, 2020

Daniela Rus is the director of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), deputy dean of research for the MIT Schwarzman College of Computing, and the Andrew and Erna Viterbi Professor of Electrical Engineering and Computer Science at MIT.

Professor Daniela Rus named to White House science council

CSAIL director and MIT Schwarzman College of Computing deputy dean of research will serve on the President’s Council of Advisors on Science and Technology.

April 21, 2020

The latest version of the MIT E-Vent team's emergency ventilator design undergoes testing in their lab.

MIT team races to fill Covid-19-related ventilator shortage

An ad hoc team of engineers and doctors has developed a low-cost, open-source alternative, now ready for rapid production.

April 20, 2020

MIT News | Massachusetts Institute of Technology

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