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.
Topic
Electrical engineering and computer science (EECS)
Download RSS feed: News Articles / In the Media / Audio
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.
New learning opportunities for displaced persons
Now accepting applications for new students, MIT ReACT Hub launched its first program in Jordan earlier this year with a certificate in computer and data science.
3Q: Antonio Torralba on what's next for the Quest for Intelligence
Inaugural director of The Quest discusses what's been accomplished since last spring's launch and what is on the horizon.
Reducing false positives in credit card fraud detection
Model extracts granular behavioral patterns from transaction data to more accurately flag suspicious activity.
Creating 3-D-printed “motion sculptures” from 2-D videos
CSAIL system could help athletes, dancers, and others better analyze how they move.
Anant Agarwal, MIT professor and edX CEO, wins Yidan Prize
Agarwal is recognized for making education more accessible to people around the world, via edX open-source online platform.
Machine-learning system tackles speech and object recognition, all at once
Model learns to pick out objects within an image, using spoken descriptions.
Helping computers fill in the gaps between video frames
Machine learning system efficiently recognizes activities by observing how objects change in only a few key frames.
New perspectives at the bench
Three MIT postdocs earn competitive Howard Hughes Medical Institute fellowships that support diversity in the sciences.
Smoothing out sketches’ rough edges
MIT-developed tool improves automated image vectorization, saving digital artists time and effort.
Robots can now pick up any object after inspecting it
Breakthrough CSAIL system suggests robots could one day be able to see well enough to be useful in people’s homes and offices.