In his research and in other parts of life, Ankur Moitra likes to journey off the beaten path. His explorer mentality has brought him to at least one edge of the unknown — where he seeks to determine how machine learning, used in increasingly diverse and numerous applications, actually works.
MIT researchers have created the first fiber with digital capabilities, able to sense, store, analyze, and infer activity after being sewn into a shirt.
MIT researchers have now designed a sharp-tipped robot finger equipped with tactile sensing to meet the challenge of identifying buried objects. In experiments, the aptly named Digger Finger was able to dig through granular media such as sand and rice, and it correctly sensed the shapes of submerged items it encountered.
MIT researchers have generated what they describe as the most accurate and complete gene annotation of the SARS-CoV-2 genome. In their study, which appears today in Nature Communications, they confirmed several protein-coding genes and found that a few others that had been suggested as genes do not code for any proteins.
CSAIL's new initiative, led by Daniel Weitzner and Srini Devadas, will focus on topics such as database systems, applied cryptography, AI and machine learning, and human-computer interaction.
