Computational science grad students awarded U.S. Department of Energy fellowships
Kaley Brauer, Sarah Greer, William Moses, and Paul Zhang will receive DoE support to fuel research that tackles problems of national importance.
Topic
Electrical engineering and computer science (EECS)
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School of Engineering third quarter 2018 awards
Faculty members recognized for excellence via a diverse array of honors, grants, and prizes over the last quarter.
Defending against Spectre and Meltdown attacks
New system breaks up cache memory more efficiently to better protect computer systems against timing attacks.
Cryptographic protocol enables greater collaboration in drug discovery
Neural network that securely finds potential drugs could encourage large-scale pooling of sensitive data.
A step toward personalized, automated smart homes
System that automatically identifies people moving around indoors could enable self-adjusting homes.
Automated system identifies dense tissue, a risk factor for breast cancer, in mammograms
Deep-learning model has been used successfully on patients, may lead to more consistent screening procedures.
Collaboration runs through J-WAFS-funded projects
Researchers from across MIT showcase J-WAFS-funded projects tackling critical water and food systems challenges from solutions-oriented perspectives.
Fabrics are the future
Professor Yoel Fink is helping MIT lead the way in transforming the fabric materials in our lives.
MIT-Germany and the University of Stuttgart extend cooperation
Collaboration extends opportunities for faculty seed funds, internship opportunities, and a Global Teaching Labs program through 2020.
Helping small science make big changes
Farnaz Niroui is exploring nanocale research from Mildred Dresselhaus’ former office.
Student entrepreneurs think inside the box
Living and working in a glass cube, an interdisciplinary team of students reimagined the ambulance of the future as part of a global startup competition.
Three MIT researchers win U.S. Air Force Young Investigator Research Program grants
Riccardo Comin, Phillip “Donnie” Keathley, and Luqiao Lui are among 31 selected nationwide.
Model helps robots navigate more like humans do
In simulations, robots move through new environments by exploring, observing, and drawing from learned experiences.
Detecting fake news at its source
Machine learning system aims to determine if an information outlet is accurate or biased.
Regina Barzilay, James Collins, and Phil Sharp join leadership of new effort on machine learning in health
MacArthur “geniuses” in machine learning and synthetic biology to serve as faculty co-leads; Nobel laureate to chair advisory board of new research center.