MIT research scientist Richard Fletcher directs the Mobile Technology Group at MIT D-Lab, which develops a variety of mobile sensors, analytic tools, and diagnostic algorithms to study problems in global health and behavior medicine. Utilizing mobile technologies -- which include smartphones, wearable sensors, and the so-called internet of things -- his group applies these technologies to real-world social problems with global implications. These issues involve a variety of areas, such as environmental monitoring and air pollution, agriculture, farming, and global health.
Three MIT alumni have been awarded The Paul and Daisy Soros Fellowship for New Americans, a graduate school fellowship for outstanding immigrants and children of immigrants in the United States. Selected from 1,775 applicants, the 2017 fellows were chosen for their potential to make significant contributions to U.S. society, culture, or their academic field. Each will receive up to $90,000 in funding to support their graduate school studies.
Computer vision scientist and Mobileye co-founder Amnon Shashua PhD '93 described the challenges associated with this technology in a talk last month hosted by MIT's Center for Brains, Minds and Machines (CBMM). The technology behind computer driven cars, Shashua explained, involves machine learning and the latest cutting-edge artificial intelligence algorithms in three major areas: sensing, planning, and mapping. Shashua earned his PhD in the Artificial Intelligence Laboratory at MIT's Department of Brain and Cognitive Sciences in 1993. In 1999, Shashua co-founded Mobileye, an Israeli technology company that makes sensors and cameras for driverless vehicles.
A team of scientists from the Broad Institute of MIT and Harvard, the McGovern Institute for Brain Research at MIT, the Institute for Medical Engineering and Science at MIT, and the Wyss Institute for Biologically Inspired Engineering at Harvard University has adapted a CRISPR protein that targets RNA (rather than DNA), for use as a rapid, inexpensive, highly sensitive diagnostic tool with the potential to transform research and global public health.