Six MIT researchers elected to the National Academy of Engineering for 2019
Members have made advances in molecular processes, rheology, computer networking, nanocrystalline metals, affective computing, and semiconductor tech.
Topic
Electrical engineering and computer science (EECS)
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A semester studying abroad at Imperial College London
Students say they're enthusiastic about the new MIT-Imperial Academic Exchange pilot program.
Three graduate students named 2019 Aviation Week “20 Twenties”
Casey Evans, Stewart Isaacs, and Jessica Zhu are honored for outstanding academic performance, civic contributions, and research.
At StartMIT, students gain advice for building a successful startup
“The purpose of a business should be to solve real problems for real customers,” says MIT Professor Hari Balakrishnan, cofounder of Cambridge Mobile Telematics.
Jumping into new experiences
For senior Héctor Javier Vázquez Martínez, studying and teaching abroad has brought new friendships, new research interests, and a new outlook.
Peering under the hood of fake-news detectors
Study uncovers language patterns that AI models link to factual and false articles; underscores need for further testing.
Putting neural networks under the microscope
Researchers pinpoint the “neurons” in machine-learning systems that capture specific linguistic features during language-processing tasks.
Technique could boost resolution of tissue imaging as much as tenfold
Approach developed by MIT engineers surmounts longstanding problem of light scattering within biological tissue and other complex materials.
SuperUROP: Showcasing students' research work in progress
Undergraduate researchers discussed their projects at a well-attended poster session.
Converting Wi-Fi signals to electricity with new 2-D materials
Device made from flexible, inexpensive materials could power large-area electronics, wearables, medical devices, and more.
Champion figure skater thrives at MIT
Computer science major Kevin Shum, a two-time U.S. national champion in figure skating, says competing on the ice helped him grow in and out of the classroom.
Filling the gaps in a patient’s medical data
Neural network assimilates multiple types of health data to help doctors make decisions with incomplete information.
Identifying artificial intelligence “blind spots”
Model identifies instances when autonomous systems have learned from examples that may cause dangerous errors in the real world.
A faster, more efficient cryptocurrency
Design reduces by 99 percent the data users need to join the network and verify transactions.
AI, the law, and our future
MIT “Policy Congress” examines the complex terrain of artificial intelligence regulation.