The Institute of Electrical and Electronics Engineers (IEEE) has named MIT professor Hari Balakrishnan an elected fellow for his contributions to “the design and application of mobile sensing systems.”
Cities are now beginning to question how much citizen data, if any, they can use to track government operations. In a new study, MIT researchers find that there is, in fact, a way for cities to preserve citizen privacy while using their data to improve efficiency.
Dina Katabi,the Andrew and Erna Viterbi Professor of Electrical Engineering and Computer Science, has been named as aGreat Immigrantby the Carnegie Corporation of New York. Katabi, who was born in Syria, is among 38 naturalized citizens from 35 countries of origin who are being celebrated for their contributions to American society.
Technology as a vector for positive change | Technology for a better world
CSAIL recently established the TEDxMIT series. The TEDxMIT events will feature talks about important and impactful ideas by members of the broader MIT community.
This event is organized by Daniela Rus and John Werner, in collaboration with a team of undergraduate students led by Stephanie Fu and Rucha Keklar.
We live in a world of wireless signals flowing around us and bouncing off our bodies. MIT researchers are now leveraging those signal reflections to provide scientists and caregivers with valuable insights into people’s behavior and health.
MIT CSAIL unsealed a special time capsule from 1999 after a self-taught programmer Belgium solved a puzzle devised by MIT professor and famed cryptographer Ron Rivest.
Researchers from MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) have shown that neural networks contain subnetworks that are up to one-tenth the size yet capable of being trained to make equally accurate predictions — and sometimes can learn to do so even faster than the originals.
The American Academy of Arts and Sciences (AAAS) announced that MIT professor David Karger was among their new 2019 members. The new class of more than 200 members recognizes the outstanding achievements of individuals in academia, the arts, business, government, and public affairs.
In a paper being presented at the International Conference on Learning Representations in May, MIT researchers describe an NAS algorithm that can directly learn specialized convolutional neural networks (CNNs) for target hardware platforms — when run on a massive image dataset — in only 200 GPU hours, which could enable far broader use of these types of algorithms.
