演讲人:Yuejiang Liu [Stanford University]时 间: 11:00-12:00, Apr 1, 2026 (Wed)地 点: remote talk (https://meeting.tencent.com/dm/9lN2ttVMMiHv #腾讯会议:800-735-970)内容:Physical intelligence has advanced rapidly in research labs, yet reliable deployment in everyday environments remains elusive. One central obstacle is the extrinsic dynamics of the real world: objects move, sensing is p...
演讲人:Michele Orrù [CNRS] 时间: 14:00-15:00, Mar 12, 2026 (Thu)地点: RM 1-222, FIT Building内容:We study a new Fiat-Shamir transformation based on an ideal permutation that minimizes permutation calls and aligns more closely with deployed systems. We show concrete bounds for soundness, knowledge soundness, and zero knowledge, revealing that indifferentiability -- the standard notion used ...
演讲人:Ariel Procaccia [Harvard University] 时间:09:45-12:30, Mar 16, 2026 (Mon)地点: Lecture Hall, FIT Building内容:How should one design collective decision-making processes capable of handling enormous sets of alternatives like all possible policies, bills, or statements? I argue that this challenge can be addressed through a framework called generative social choice, which fuses the rig...
演讲人:Binyi Chen时间:14:00-15:00, Feb 28, 2026 (Sat)地点: RM 1-222, FIT Building内容:In an era of AI and digitalization, we face a dual challenge in building trust while preserving privacy. For example, social platforms are flooded with unverifiable AI-generated content, and online services require users to excessively expose their personal data. Zero-Knowledge Succinct Proofs (ZK-SNARKs) ...
演讲人:孙向恺 [Caltech] 时间:10:00-12:00, Feb 27, 2026 (Fri)地点: Lecture Hall, FIT Building内容:The fidelity of entangling operations is a key figure of merit in quantum information processing, especially in the context of quantum error correction. High-fidelity entangling gates in neutral atom arrays have seen remarkable advancement recently. A full understanding of error sources and thei...
演讲人:Yian Ma (马易安) [University of California, San Diego]时间:13:30-15:00, Dec 26, 2025 (Fri)地点:RM 1-222, FIT Building内容:In the first part of the talk, I will discuss an interesting phenomenon in multiagent learning, that the mixed Nash equilibria are uniformly stable if and only if they are collectively rational. This justifies the effusive use of multi-agent learning systems and r...