Research using Machine Learning from the Eric and Wendy Schmidt Center at Broad Institute
Principal Investigator Richard Samuels
This webinar will feature portable medical devices developed by MIT Lincoln Laboratory’s Biotechnology and Human Systems division. Join us to learn about new sensors, robotic mechanisms and advanced AI and signal/image processing algorithms to enhance medical response and improve health outcomes in clinical environments as well as pre-hospital, field and home settings.
Principal Investigator Pavel Etingof
State of the Art: How AI Has Impacted Software Engineering Armando Solar-Lezama
Distinguished Professor of Computing, MIT Schwarzman College of Computing Professor, MIT Department of Electrical Engineering and Computer Science (EECS) Associate Director and COO, MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)
Upgrade your data analytics skills by learning the theory and practical application of supervised and unsupervised learning, time-series analysis, neural networks, recommendation engines, regression, and computer vision.
Industry Panel: Real-World Impacts of AI in Software Engineering
Moderator:
Panelists:
Learn about the challenges faced by the industry and the potential solutions and technologies that are made available by MIT researchers.