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Electrical engineering and computer science (EECS)

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Department of Aeronautics and Astronautics graduate student Eric Hinterman (left) and Department of Electrical Engineering and Computer Science graduate student Eswar Anandapadmanaban are members of the MIT team that took first prize in the U.S. Air Force’s Visionary Q-Prize Competition.

MIT team places first in U.S. Air Force virtual reality competition

Satellite operator's visualization tool could help prevent space collisions.

April 9, 2019

“Before I came to MIT, I would build something, and no one would challenge it,” Ernie Ho says. “Now I have a network of people who push me to be better by asking me ‘Why do you want to build that?’ or ‘Why not build it another way?’”

Driving toward success

Through MIT Professional Education’s Advanced Study Program, Ernie Ho found the tools — and the community — he needed to realize his vision and launch his career.

April 5, 2019

Visitors wear virtual reality headsets in the MIT.nano Immersion Lab.

The power of play

Video game developer NCSOFT joins with MIT.nano to apply the language of gaming to technology research and education.

April 3, 2019

cluster of multicolored numbers

Machine learning moves popular data elements into a bucket of their own

Counting search queries isn’t easy, but MIT CSAIL’s new LearnedSketch system for “frequency-estimation” aims to help.

April 3, 2019

MIT researchers’ modified flash storage drives hold promise to cut in half the energy and physical space required to store and manage user data in power-hungry data centers.

Advance boosts efficiency of flash storage in data centers

New architecture promises to cut in half the energy and physical space required to store and manage user data.

April 2, 2019

$Researchers trained a hybrid AI model to answer questions like “Does the red object left of the green cube have the same shape as the purple matte thing?” by feeding it examples of object colors and shapes followed by more complex scenarios involving multi-object comparisons. The model could transfer this knowledge to new scenarios as well as or better than state-of-the-art models using a frac...$

Teaching machines to reason about what they see

Researchers combine statistical and symbolic artificial intelligence techniques to speed learning and improve transparency.

April 2, 2019

Professor Susan Silbey provided a rousing defense of the humanities during her lightning talk at the 2019 MacVicar Day symposium.

Celebrating passionate teachers and enthusiastic learners

At this year's MacVicar Day symposium, faculty and students reflect on the challenges and joys of education in the 21st century.

March 29, 2019

Molecular diagram shows the structure of molybdenum sulfide, one of the materials used to create the new kind of cathode for lithium-sulfur batteries.

New approach could boost energy capacity of lithium batteries

“Hybrid” cathodes could provide more power for a given weight and volume.

March 25, 2019

A new model developed by MIT researchers creates richer, more easily computable representations of how individual amino acids determine a protein’s function, which could be used for designing and testing new proteins.

Model learns how individual amino acids determine protein function

Technique could improve machine-learning tasks in protein design, drug testing, and other applications.

March 22, 2019

Photo shows the area on the Coast Guard cutter Spencer’s diesel engine where the MIT-developed “NILM Dashboard” detected damage that could have caused a fire. The damage was hidden under the brown cap at center.

Energy monitor can find electrical failures before they happen

Sensor can monitor wiring in a building or ship, and signal when repairs are needed.

March 21, 2019

MIT researchers have developed an efficient algorithm that could provide a “push-button” solution for automatically designing fast-running neural networks on specific hardware.

Kicking neural network design automation into high gear

Algorithm designs optimized machine-learning models up to 200 times faster than traditional methods.

March 21, 2019

Researchers have developed computationally simple robots, called particles, that cluster and form a single “particle robot” that moves around, transports objects, and completes other tasks. The work hails from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), Columbia University, and elsewhere.

“Particle robot” works as a cluster of simple units

Loosely connected disc-shaped “particles” can push and pull one another, moving en masse to transport objects.

March 20, 2019

MIT associate professor of electrical engineering and computer science Stefanie Jegelka, an IDSS affiliate, gives a talk at the 2019 Women in Data Science (WiDS) Cambridge conference entitled, "What Can Neural Networks Represent?"

Women in Data Science conference unites global community of researchers and practitioners

MIT Institute for Data, Systems, and Society co-hosted WiDS Cambridge, a daylong conference connecting data scientists across academia and industry.

March 20, 2019

Kyle Swanson

Using machine learning for medical solutions

Master’s student and Marshall Scholar Kyle Swanson uses computer science to help make drug development more efficient.

March 19, 2019

The Ad Hoc Task Force on Open Access to MIT’s Research is seeking community input on ways to support and increase the open sharing of MIT publications, data, software, and educational materials.

Open access task force releases draft recommendations

The MIT community is invited to comment on ways to increase sharing of research, data, software, and more.

March 18, 2019