Last week MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) hosted a discussion with New York Times best-selling author Liza Mundy on her latest book, “Code Girls”, about the American women who cracked the Japanese and German code to help win World War II.
On January 15, 2019, the MIT Internet Policy Research Initiative (IPRI) and Quest for Intelligence (QI) hosted the first MIT AI Policy Congress. The conference brought together global policymakers, technical experts, and industry executives to discuss the impact of AI across sectors, with panels on transportation and safety, manufacturing and labor, healthcare, criminal justice and fairness, national security and defense, and international perspectives.
Last week MIT’s Institute for Foundations of Data Science (MIFODS) held an interdisciplinary workshop aimed at tackling the underlying theory behind deep learning. Led by MIT professor Aleksander Madry, the event focused on a number of research discussions at the intersection of math, statistics, and theoretical computer science.
For all the progress made in self-driving technologies, there still aren’t many places where they can actually drive. Companies like Google only test their fleets in major cities where they’ve spent countless hours meticulously labeling the exact 3-D positions of lanes, curbs, off-ramps, and stop signs.
Every spring, engineering students from MIT and law students from Georgetown University overcome the distance between their institutions and disciplines in a semester-long flurry of virtual classroom meetings and late-night Google hangout sessions, culminating in presentations to policy experts in DC.
This past year MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) was at the forefront of many diverse technological innovations covering a breadth of topics, from healthcare and cybersecurity to self-driving cars.
September 26, 2018 - Vladimir Vapnik of University of London and Columbia University gave a Dertouzos Distinguished Lecture titled "Learning Using Statistical Invariants (Revision of Machine Learning Problem)"