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• Exploring the Causal Ladder: Unraveling Research in Each Layer

  Speaker: Ang Li Date: Sep 22, 2023 Abstract: When people engage in discussions about causal inference or causality, their initial focus often revolves around identifying the cause of a particular phenomenon. However, the realm of causal inference extends far beyond…

• Helping Scientists Explore Data Through Rich Metadata and Advanced Data Management Tools

  Speaker: Dr. Jay Lofstead Date: Friday, September 29, 2023, 2:15 – 3:15pm Location: 307 James Love Building Abstract: Scientific observations and simulations generate enormous data volumes that must be explored to gain new insights into physics phenomena. Two mature tool…

• A Survey of Cloud Database Systems

  Speaker: C. Mohan Date: Friday, October 13, 2023, 2:15 – 3:15pm Location: 307 James Love Building Abstract: In this talk, I will first introduce traditional (non-cloud) parallel and distributed database systems. Concepts like SQL and NoSQL systems, data replication, distributed…

• Yuo cna raed tihs, but cna chtaGTP

  Speaker: Gary Tyson Date: Sep 8, 2023 Abstract: Aoccdrnig to a rscheearch at Cmabrigde Uinervtisy, it deosn’t mttaer in waht ore dr the ltteers in a wrod are, the olny iprmoetnt tihng is taht the frist and lsa t ltteer…

• Representation Space of Transformers

  Speaker: Xiuwen Liu Date: Sep 1, 2023 Abstract: Pretrained large foundation models play a central role in the recent surge of artificial intelligence, resulting in finetuned models with remarkable abilities when measured on benchmark datasets, standard exams, and applications. Due…

• Safe Physics-AI: Physics-Regulated Deep Reinforcement Learning Towards Provable Safety Guarantee

  Speaker: Yanbing Mao Date: Sep 15, 2023 Abstract: The recent incidents due to the deployment of machine learning (ML) models overshadow the revolutionizing potential of ML, especially for safety-critical autonomous systems. Developing safe ML is thus more vital today. In…