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NASA, IBM, and Forschungszentrum lich have released an expanded version of the open-source Prithvi Geospatial artificial intelligence (AI) foundation model to support a broader range of geographical...
Causal inference is a permanent challenge topic in statistics, data science, and many other applied fields. Existing machine learning methods often focus on the correlations in the data and ignore the...
In this talk, we will introduce some applications of Nevanlinna theory to “arithmetic properties of exponential polynomials and some special cases of Green-Griffiths-Lang conjecture with moving targe...
High-order interaction occurs in various complex network, such as social network, bionetwork and network medicine. Comparing with that there are a lot of well-developed math tools (from graph theory) ...
这是一个大数据与人工智能的时代,催生了各种各样大规模商务新场景。新场景常常呈现出:大规模、大数据、大模型的特点。这些特点对统计学的理论与计算方法都提出了新挑战,也提供了新机遇。对此,我将通过三个具体的真实案例分享,希望从中能够总结典型的统计学科学问题,洞察未来可能的研究机遇。这三个案例分别来自:金融科技、视频直播、和智慧零售三个不同商务场景。其中科技金融案例将展示如何通过二维码聚合支付数据助力面向...
2023年10月30日植物生物学论坛—292:Harnessing plant metabolic diversity for food and health applications
Consider a finite set of segments on a plane with endpoints in the general position. In [1] Sylvester posted a problem of finding the measure of the set of lines intersecting all of this segments. In ...
【北京大学物理化学学术报告】Covalent Organic Frameworks as Promising Platforms for Diverse Applications
反问题和正问题是成对出现的。通常,学术界将已知原因(输入)、过程(模型)而探求结果(输出)的一类问题称为正问题。与此相对应,就有了两种反问题:已知模型、输出求未知输入的“溯源”问题和已知输入、输出来反求模型(或模型参数)的系统辨识问题。在现实社会和人类生活中,反问题无处不在;在关系国家命脉的经济生产和国防军事领域中反问题更是随处可见。例如,与人类健康福祉密切相关的无痛无损伤、在体表进行测量的医学诊...
In this talk we consider the maximum absolute value in the autocorrelation spectrum (not considering the zero point) of balanced Boolean function. The long-standing open question in this area is to ob...
本报告首先回顾传统低频涡流场的两种计算格式,指出有限元编程实现过程中的基函数选择以及需要注意的难点问题。第二部分针对静磁场问题,通过引入规范条件提出了一种基于矢量磁位和磁场强度的新型的对偶格式,该方法通过巧妙构造基于矢量磁位和磁场强度的计算格式,整体矩阵完全一致并且可以给出系统电感参数的上下界,在实际参数提取中有很好的应用前景。在第三部分,由于传统低频涡流场近似不能有效考虑分布电容效应,而传统高频...
Sparsity is a naturally occurring characteristic in many real-world applications including signal denoising, outlier detection, and finance. On one hand, sparsity assumption allows people to tackle in...
In this talk, I begin with a review of different geometric flows (PDEs) including mean curvature (curve shortening) flow,surface diffusion flow, Willmore flow, etc., which arise from materials science...
In this talk, we will revisit Grothendieck's theory of Grassmannians and flag schemes and the theory of Schur and Weyl module functors studied in $GL_n$-representation theory from theperspective of de...
We will introduce the sublinear expander and cover some applications of sublinear expander. Given a graph H, a balanced subdivision of H is a graph obtained from H by subdividing every edge the same n...

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