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Lecture：The Failure of Perturbation Theory
Time: Jan 7, 15:00-16:30
授课内容：面向理论物理高年级本科生和研究生的前沿课程，主要内容包括量子力学和量子场论中的渐近级数、瞬子和重整化子。
Lecture：The Fate of the Universe
Time: Jan 9, 15:00-16:30
授课内容：面向理论物理高年级本科生和研究生的前沿课程，主要内容包括量子力学和量子场论中的隧穿现象及其在宇宙真空衰变中的应用。
Colloquium: 10,000 Einsteins: AI and the future of theoretical physics
Time: Jan 8, 15:00-16:00
Abstract：Machine learning has evolved from a specialized field to a foundational tool in various disciplines, including particle physics. Over the past decade, it has transformed collider physics and is beginning to influence more formal sectors of high-energy theory. An introduction to the use of machine learning in particle physics will be presented, highlighting some recent advances that the speaker has been involved in. Going forward, machine learning will play an increasingly important role in science and education, particularly with the advent of large language models. We are in the early stages of period of rapid change that has been compared to the industrial revolution, the dawn of the internet, or even the inception of writing. Some justification will be given for these bold analogies alongside speculative insights and an optimistic outlook into how machine learning might be essential for continued progress on unraveling the fundamental laws of nature.
授课人简介：Matthew Schwartz是哈佛大学物理系教授。他博士毕业于普林斯顿大学，在加州大学伯克利分校和约翰霍普金斯大学从事博士后研究后在2008年加入哈佛大学任助理教授，并于2015年升任正教授。他的主要研究方向是量子场论和粒子物理，以及高能物理与人工智能的交叉领域，在喷注物理、量子色动力学和有效场论方面做出了开创性贡献，曾获得美国能源部早期职业奖。他是美国国家科学基金人工智能和基本相互作用研究所的主要负责人之一。他长期担任哈佛大学久负盛名的量子场论课程教学工作，所著的《量子场论与标准模型》是现代量子场论教学的标准参考书。