主讲人简介：Kao Si is associate professor of marketing at the University of Macau. His research interests include judgment and decision making, consumer behavior, and organization. His work appears in journals in business, psychology, and economics, including Organization Science, Journal of Personality and Social Psychology, Journal of Economic Behavior and Organization, Research Policy, among ot...

本报告围绕国家在高性能矩阵计算方面的重大战略需求，针对传统存算分离架构的算力瓶颈，系统汇报了团队在基于磁存储器（MRAM）的存算一体芯片方向的研究成果。工作主要从“数模混合电路”与“随机自旋计算”两条技术路径展开。其一，提出并流片验证了一种非易失性数字式存算一体架构（nvDCIM），通过单元设计、阵列拓扑与训练算法的协同优化，实现了最高16比特精度且精度无损的矩阵-向量乘运算。实测芯片算力达4.42 TOPS，能效为11...

Deep neural networks have become the cornerstone of modern machine learning, yet their multi-layer structure, nonlinearities, and intricate optimization processes pose considerable theoretical challenges. In the first part of the talk, I will review recent advances in random matrix analysis that shed new light on these complex ML models. Starting with the foundational case of linear regression, I ...

主讲人学术背景：刘永强，中国科学技术大学几何与物理研究中心特任教授。研究领域为代数几何和代数拓扑，主要研究方向是代数簇奇异点的拓扑及Hodge理论。已在Adv. Math，Crelle和Math. Ann等国际数学杂志上发表多篇论文。 讲座题目：Kahler weighted right-angled Artin group 讲座摘要：It is a question of Serre to characterize finitely presented groups that can serve as the fundamental group of a compact Kahler manif...

随着循证医学的发展，医学研究及其日常的临床应用日趋方法化、规范化。同时，创新试验设计 （innovative trial design）、系统综述和元分析（systematic reviews and meta-analysis）越来越多的应用到前沿医学科研当中。主讲人结合其在英国从事医学科研研究的经历，着重介绍医学相关的统计分析方法和研究发展方向。 嘉宾介绍：黄超，统计学学者，英国赫尔大学准教授（Reader in Statistics）。南开大学统计学本硕，英国曼彻斯特大...

Deep neural networks have become the cornerstone of modern machine learning, yet their multi-layer structure, nonlinearities, and intricate optimization processes pose considerable theoretical challenges. In the first part of the talk, I will review recent advances in random matrix analysis that shed new light on these complex ML models. Starting with the foundational case of linear regression, I ...

In this talk, I will present our recent work on the optimality of Approximate Message Passing (AMP) algorithms for spiked matrix models with rotationally invariant noise. We introduce a new AMP algorithm that employs a matrix denoiser—acting on the eigenvalues of the observed matrix—and an iterate denoiser—applied to the AMP iterates. The resulting dynamics admit a simple state-evolution character...