随着人工智能、大数据等技术的爆发式增长，人类对算力的需求正以前所未有的速度增长。然而，我们赖以生存的地球，在提供强大算力的同时，也面临着诸多瓶颈。将算力从地面延伸到太空为我们提供了一种方案设想。那么，要实现太空算力需要哪些核心技术？我国在这一领域有哪些布局和实践？ 2026年第四期（总第31期）ShanghaiTech Lecture联合跨学科下午茶（Interdisciplinary Coffee Hour）活动第12期，邀请中国科学院声学所研究员、中...

上科大“科技创业大讲堂”是2025年推出的杰出企业家讲座系列，目标是搭建产学研深度融合的顶级交流平台，助力师生开拓视野、锚定赛道、链接资源，构建校园创新创业强生态。大讲堂汇聚国内顶尖科技创业者和行业领袖，分享创新创业的最佳实践与心得。5月21日第五期特别邀请来自中微半导体设备(上海)股份有限公司董事长兼总经理尹志尧博士，分享中微公司的高速发展和科创企业的"五个十大”主题讲座。 内容简介 主讲人将结合自身半导...

In this talk, I provide a pedagogical introduction to topolectrical circuits and non-Hermitian phenomena. Although topological phenomena have become a cornerstone of modern condensed matter physics and won the Nobel Prize for their discoverers in 2016, their manifestation in actual physical materials remains experimentally challenging. Topolectrical circuits provide a readily accessible experiment...

主讲人介绍：Ting Xu is an Assistant Professor of Finance at the University of Toronto, Rotman School of Management, and a Faculty Research Fellow at the National Bureau of Economic Research. He was previously an Assistant Professor at the University of Virginia, Darden School of Business. His research focuses on entrepreneurial finance, private markets, and labor and productivity. His work has bee...

AI data centers are projected to consume hundreds of terawatt-hours annually by 2035, demanding power conversion technologies that are not only energy-efficient but also cost-effective, scalable, and reliable. It is estimated that the global market for power supplies, distribution, and management systems serving AI data centers and cloud computing is expected to reach approximately $145–150 billio...

自旋轨道矩磁随机存储器（SOT-MRAM）具备非易失性、超低功耗（约0.1 pJ/bit）、亚纳秒级写入速度及高器件耐久性等优势，被认为是替代最后一级缓存LLC的重要技术路径。过去十余年间，该技术快速发展，存储容量已达8 Mb，在嵌入式存储等领域展现出广阔的应用前景。 为进一步提升SOT-MRAM的性能，降低器件写入电流、提升尺寸微缩性成为当前主要发展方向。本次报告中，我将介绍SOT-MRAM的器件原理和发展现状，并重点讨论基于交换偏置（...