Electrical Engineering and Computer Science

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

Researchers with the IDSS Covid-19 Collaboration (Isolat) are designing a control model for testing and isolating members of communities like MIT’s to reduce Covid-19 infection.

A data-driven response to a pandemic

Isolat, a volunteer collaboration organized by the Institute for Data, Systems, and Society, informs coronavirus policy by analyzing data associated with the pandemic.

May 15, 2020

In this photograph of fabric, you can see the green light of functional fibers. “No human-made objects are more ubiquitous or exposed to more vital data than the clothes we all wear,” says doctoral student Gabriel Locke. “Wouldn’t it be great if we could somehow teach our fabrics to sense, store, analyze, extract and communicate this potentially useful information?”

3 Questions: The rapidly unfolding future of smart fabrics

Soon, your clothes may be able to monitor your vital signs, analyze the results, and warn you of health risks.

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

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

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

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

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

The MIT Press and Candlewick Press to collaborate on new imprints for children, teens

First-ever collaboration between a university press and a children’s publisher will offer young readers fascinating insights into STEAM topics.

April 17, 2020

MIT News | Massachusetts Institute of Technology

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