Research
Labs
Areas
-
-
Artificial intelligence (AI) can become more efficient and reliable if it is made to mimic biological models. New approaches in AI research are hugely successful in experiments. -
Computational method for screening drug compounds can help predict which ones will work best against tuberculosis or other diseases. -
New technique provides a means of interconnection between processors, opening the way to a complete quantum computing platform. -
When the in-person labs of MIT once again fill, the students of EECS will have a fascinating new set of tools at their fingertips, thanks to a generous equipment donation from Keysight Technologies. -
MIT-led team uses AI and machine learning to explore fundamental forces. -
MIT professor announced as award’s first recipient for work in cancer diagnosis and drug synthesis. -
Realtime Robotics has created a controller that helps robots safely move around on the fly. -
Eight 2020 graduate fellows pursue diverse paths. -
This summer has seen three new career development chairs appointed within the EECS faculty: Kevin Chen, Jonathan Ragan-Kelley, and Mengjia Yan. Meet the new chairs here. -
July saw two new chair appointments within the department’s leadership. Please join us in congratulating Asu Ozdaglar and Joel Voldman on their accomplishments, and learn more about the new chairs here.MTL, RLE, InfoSys, ApplPhysDev, Biomed, Systems, Theory, bio-EECS, Connections, Multicore -
-
Murray Eden, Emeritus Professor in Electrical Engineering at MIT, passed away on August 9, 2020, in Tucson, AZ. He was one week shy of his 100th birthday. -
Through innovation in software and hardware, researchers move to reduce the financial and environmental costs of modern artificial intelligence. -
Storage tool developed at MIT CSAIL adapts to what its datasets’ users want to search. -
“Qubit by Qubit” introduces high school students to quantum computing through a week-long summer camp and a year-long course. -
Study finds quantum entanglement could, in principle, give a slight advantage in the game of blackjack. -
Machine learning system from MIT CSAIL can look at chest X-rays to diagnose pneumonia — and also knows when to defer to a radiologist. -
MIT researchers propose a design to overcome a major challenge in hydrocephalus catheters — clogging — by leveraging catheter geometry. -
A team from MIT helped create an image retrieval system to find the closest matches of paintings from different artists and cultures. -
Researchers devise an on-off system that allows high-fidelity operations and interconnection between processors. -
Four EECS associate professors are among 8 in the School of Engineering who have been granted tenure. -
Tamara Broderick scaling challenges of Bayesian inference -
MIT researchers develop integrated lightwave electronic circuits to detect the phase of ultrafast optical fields. -
Specialized nanoparticles create a “breath signal” that could be used to diagnose pneumonia and other infectious or genetic diseases.
- 1 of 46
- ››
