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

Published: | 4:01 pm | Posted in: Colloquium

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 generations have been proposed with each offering different capabilities to aid scientists in their analysis […]

A Survey of Cloud Database Systems

Published: | 3:49 pm | Posted in: Colloquium

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 and parallel query processing, and data recovery after different types of failures will be covered. […]

The Department of Computer Science at the Florida State University welcomes three tenure-track faculty members.

Published: | 2:37 pm | Posted in: News

“We have completed our 2023 faculty recruiting process with an incredibly successful year in terms of both the outcome and the procedure. With the hiring of Ang Li, Te-Yen Wu, and Kai Zhao, we have made a number of advances towards our goal of strengthening our existing core systems research area and growing our research […]

PhD student Rituparna Khan to be featured in Winter 24 FSU Spectrum and selected for FSU Women’s Leadership Institute.

Published: | 2:22 pm | Posted in: Student Recognition

CS PhD student Rituparna Khan will be featured in Jan 24 edition of the Spectrum Magazine where she talked about her research in Bioinformatics under the supervision of Dr. Xian Mallory. She mentioned that their lab is focused on developing computational tools that will help detect mutations using single cell DNA and RNA sequencing data […]

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Published: | 1:33 pm | Posted in: Colloquium

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 be at the rghit pclae. The rset can be a toatl mses and you can […]

Representation Space of Transformers

Published: | 1:30 pm | Posted in: Colloquium

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 to their inherent complexity, these models are poorly understood. While small adversarial inputs to such […]

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

Published: | 8:20 pm | Posted in: Colloquium

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 the ML community, deep reinforcement learning (DRL) has demonstrated breakthroughs in sequential decision-making in broad […]