Leslie Valiant will be giving the inaugural talk of the Ding Shum Lectures on Tuesday, October 10 at 5:00 pm in Science Center Hall D, Cambridge, MA. Learning as a Theory of Everything Abstract: We start from the hypothesis that all the information that resides in living organisms was initially acquired either through learning by an individual or […]
On October 24, 2018, the CMSA hosted the second annual Ding Shum lecture. This event was made possible by the generous funding of Ding Lei and Harry Shum. Last year featured Leslie Valiant, who spoke on “learning as a Theory of Everything.” This year will feature Eric Maskin, who will speak on “How to Improve Presidential […]
https://youtu.be/WEpgH5Anjdg?si=U1LMgvou7OAGE8K8 On October 22, 2019, the CMSA held the third annual Ding Shum lecture. Speaker: Ronald L. Rivest (MIT) Title: Election Security Ronald L. Rivest is an Institute Professor at the Massachusetts Institute of Technology. He is a member of the Electrical Engineering and Computer Science Department and the Computer Science and Artificial Intelligence Laboratory […]
On March 21, 2023, the CMSA hosted the fourth annual Ding Shum Lecture, given by Cynthia Dwork (Harvard SEAS and Microsoft Research). Time: 5:00-6:00 pm ET Location: Harvard University Science Center Hall D This event was be held in person and via Zoom webinar. Title: Measuring Our Chances: Risk Prediction in This World and its […]
https://youtu.be/MiqLoAZFRSE LECTURE SLIDES (pdf) On March 28, 2024, the CMSA will host the fifth annual Ding Shum Lecture, given by Yann LeCun. Time: 4:30–5:30 pm ET Speaker: Yann Lecun, New York University & META Location: Harvard Science Center Hall A & via Zoom Webinar Title: Objective-Driven AI: Towards AI systems that can learn, remember, reason, […]
https://youtu.be/jEDFrIvRowc On February 13, 2025 the CMSA hosted the sixth annual Ding Shum Lecture, given by Irit Dinur, Institute for Advanced Study. Location: Harvard Science Center Hall A & via Zoom Webinar Speaker: Irit Dinur, Institute for Advanced Study Title: Expanders from local to global Abstract: Imagine a network—like a social network, a transportation […]