DLS: Kai Li — Machine Learning Meets System Designs: Experience with Designing Learned Cache Systems
Kai Li
Paul M. Wythes '55, P'86 and Marcia R. Wythes P'86 Professor
Department of Computer Science, Princeton University
Kai Li
Paul M. Wythes '55, P'86 and Marcia R. Wythes P'86 Professor
Department of Computer Science, Princeton University
Tony Chan
President, King Abdullah University of Science and Technology (KAUST)
Professor, Applied Mathematics and Computational Science
In its modern incarnation, computational mathematics is a discipline that blossomed only after WWII. But even in its relatively brief history, there have been some major shifts in its methodology, emphasis, and applications.
Sri AravindaKrishnan (Aravind) Thyagarajan
Postdoctoral Researcher, NTT Research
Pascal Van Hentenryck
Associate Chair, Innovation and Entrepreneurship; A. Russell Chandler III Chair and Professor
H. Milton Stewart School of Industrial and System Engineering, Georgia Institute of Technology
Mostafa H. Ammar, Regents’ Professor
School of Computer Science, Georgia Institute of Technology
A networking researcher, traveling forward in time from 1985 to the present, would be shocked by many things — not the least of which is the fact that people are still doing networking research in 2022.
Sheila McIlraith
Professor, Department of Computer Science, University of Toronto
Canada CIFAR AI Chair, Vector Institute for Artificial Intelligence
Associate Director and Research Lead, Schwartz Reisman Institute for Technology and Society
Steven Jeromy Carriere
Senior Vice President, Engineering, Datadog
“Scale” is a complex notion that encompasses some easy-ish-to-measure factors such as the resource footprint or transaction rate of a system, but also substantially more subtle considerations such as service dependencies that influence the cost of making changes and team behaviors that affect how long it takes to resolve a production issue.
Tim Roughgarden, Professor
Computer Science Department, Columbia University
Head of Research, a16z crypto
The University of Waterloo’s Centre for Theoretical Neuroscience supports the development of robust explanatory theories of mind and brain through education and research.
Sponsored by the Faculty of Mathematics Data Science Graduate Programs, please join Cheriton School of Computer Science expert in artificial intelligence, Professor Pascal Poupart, for a public talk in which he will describe the key technological advances in recent years that were behind AlphaGo and ChatGPT and ultimately facilitated these breakthroughs.
In recent years, we have seen the following —