MIT Schwarzman College of Computing
SENSE.nano symposium highlights the importance of sensing technologies in medical studies.
Deep-learning methods confidently recognize images that are nonsense, a potential problem for medical and autonomous-driving decisions.
A new model shows that the more polarized and hyperconnected a social network is, the more likely misinformation will spread.
Gift will help establish the Vamasundari Devi Fellowship Fund to provide financial support to graduate students and the SuperUROP program, which provides undergraduates with two-semester research opportunities.
The system could help physicians select the least risky treatments in urgent situations, such as treating sepsis.
Summit features the latest research of women and other underrepresented genders in MIT EECS, along with an opportunity to network, share experiences, and learn.
New technique applied to small computer chips enables efficient vision and detection algorithms without internet connectivity.
MIT-IBM Watson AI Lab researchers aim to design concrete mixtures that use AI to shrink environmental footprint and cost, while recycling byproducts and increasing performance.
“Evolution Gym” is a large-scale benchmark for co-optimizing the design and control of soft robots that takes inspiration from nature and evolutionary processes.
The new machine-learning system can generate a 3D scene from an image about 15,000 times faster than other methods.
Chandrakasan honored for his “contributions to ultralow-power circuits and systems, and leadership in academia and advancing diversity in the profession.”