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Speaker: Yann LeCunTitle: 2024 Ding Shum Lecture: Yann LeCun: Objective-Driven AI: Towards AI systems that can learn, remember, reason, and planVenue: Harvard Science CenterOn March 28, 2024, the CMSA will host the fifth annual Ding Shum Lecture, given by Yann LeCun. Time: 4:30–5:30 pm ET Location: Harvard Science Center Hall A & via Zoom Webinar Registration is required. Register here to attend in-person: In-person registration Register here to attend virtually: Zoom Webinar registration Title: Objective-Driven AI: Towards AI systems that can learn, remember, reason, and plan Abstract: How could machines learn as efficiently as humans and animals? How could machines learn how the world works and acquire common sense? How could machines learn to reason and plan? Current AI architectures, such as Auto-Regressive Large Language Models fall short. I will propose a modular cognitive architecture that may constitute a path… |
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Speaker: Cynthia DworkTitle: 2023 Ding Shum LectureVenue: Harvard Science CenterOn March 21, 2023, the CMSA will host 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 will be held in person and via Zoom webinar. Registration is required. In-person registration (link) Zoom Webinar registration (link) Title: Measuring Our Chances: Risk Prediction in This World and its Betters Abstract: Prediction algorithms score individuals, assigning a number between zero and one that is often interpreted as an individual probability: a 0.7 “chance” that this child is in danger in the home; an 80% “probability” that this woman will succeed if hired; a 1/3 “likelihood” that they will graduate within 4 years of admission. But what do words… |
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Speaker:Title: 2019 Ding Shum LectureVenue: VirtualOn October 22, 2019, the CMSA will be hosting our third annual Ding Shum lecture. This year’s lecture will be a talk on “Election Security” by Ronald L. Rivest (MIT). The lecture will take place from 4:30-5:30pm in Science Center, Hall A. 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 (CSAIL) and a founder of the Cryptography and Information Security research group within CSAIL. His research has been in the areas of algorithms, machine learning, cryptography, and election security, for which he has received multiple awards, including: the ACM Turing Award (with Adleman and Shamir), the BBVA Frontiers… |
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Speaker:Title: 2018 Ding Shum LectureVenue: VirtualOn October 24, 2018, the CMSA will be hosting our 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 Elections: the Mathematics of Voting.” This lecture will take place from 5:00-6:00pm in Science Center, Hall D. Pictures of the event can be found here. |
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Speaker:Title: 2017 Ding Shum LectureVenue: Harvard Science CenterLeslie 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 through evolution. Then any unified theory of evolution and learning should be able to characterize the capabilities that humans and other living organisms can possess or acquire. Characterizing these capabilities would tell us about the nature of humans, and would also inform us about feasible targets for automation. With this purpose we review some background in the mathematical theory of learning. We go… |