MIT community in 2021: A year in review
Top Institute stories dealt with the return to campus and continued response to Covid-19, MIT’s commitments to climate action, its support of a diverse community, and more.
Top Institute stories dealt with the return to campus and continued response to Covid-19, MIT’s commitments to climate action, its support of a diverse community, and more.
The year’s popular research stories include a promising new approach to cancer immunotherapy, the confirmation of a 50-year-old theorem, and a major fusion breakthrough.
Assistant professor of civil engineering describes her career in robotics as well as challenges and promises of human-robot interactions.
A new fabrication technique produces low-voltage, power-dense artificial muscles that improve the performance of flying microrobots.
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.
Political scientist Nazli Choucri discusses challenges and hopes for global coordination on climate issues — and the role of political science in the process.
Strategy accelerates the best algorithmic solvers for large sets of cities.
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.
A new “common-sense” approach to computer vision enables artificial intelligence that interprets scenes more accurately than other systems do.
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.