Physics-Informed neural networks have emerged as a powerful tool in scientific machine learning, providing efficient numerical solutions for broad classes of partial differential equations. However, conventional learning approaches often struggle to resolve problems involving singular behaviors, such as discontinuities in hyperbolic equations or singularities in Green’s functions. In this talk, l...

The Transformer has emerged as one of the most advanced neural network architectures, with wide applications in large language models (LLMs), AI for Science, and image/video process. Despite its success, its mathematical foundations remain largely open. This research presents our recent progress toward addressing this gap, structured in two parts. First, we introduce a new perspective based on Pet...

细胞焦亡是一种新型炎症性细胞死亡方式，由膜成孔活性的gasdermin（GSDM）家族成员响应胞外或胞内损伤信号而执行，其特征表现为细胞气球样形态变化、质膜破裂以及IL-1β、IL-18和高迁移率族蛋白B1等炎症介质的释放。细胞焦亡是宿主免疫防御、监视入侵病原体及异常癌细胞的关键效应机制，同时也参与炎症性疾病和自身免疫性疾病的发生与发展。调控GSDMs的成孔活性及细胞焦亡过程，有望催生新的治疗策略。我们的研究关注在病原体感染...

Suspended animation represents an extreme yet reversible state of life arrest in which movement, development, and metabolic activity become microscopically undetectable. I will present our discovery of a newly inducible form of suspended animation in C. elegans, triggered by high population density in isosmotic liquids and occurring across larval and adult stages. This liquid-induced suspended ani...

本报告围绕“万物皆可AI：从算力到智能体驱动1+6+X产业焕新”主题展开，系统阐述了在人工智能2.0迈向智能体（Agent）时代背景下，如何以国产算力为底座，构建端到端智能体体系，并推动教科研及行业应用的规模化落地。报告首先提出智能体的核心架构模型——以“大脑（模型）—记忆（知识库）—工具（API与系统能力）—策略（决策机制）”为基本单元，形成从感知、规划、执行到反思迭代的闭环能力框架；并进一步给出“AI the Task—AI the ...