“An Overview of High Performance Computing and Future Requirements”
January 31, 2023
Jack Dongarra specializes in numerical algorithms in linear algebra, parallel computing, the use of advanced computer architectures, programming methodology, and tools for parallel computers.
“Harnessing the Power of Data Visualization: From Insight and Storytelling to AI Explanation and Data Art”
November 30, 2022
Fernanda Viégas is Gordon McKay Professor of Computer Science at Harvard, and Sally Starling Seaver Professor at the Radcliffe Institute for Advanced Study.
“Do Simpler Machine Learning Models Exist and How Can We Find Them?”
October 20, 2022
Cynthia Rudin is the Earl D. McLean, Jr. Professor of Computer Science, Electrical and Computer Engineering, Statistical Science, Mathematics, and Biostatistics & Bioinformatics at Duke University, and directs the Interpretable Machine Learning Lab.
“How Technology Will Dictate Our Civic Future”
February 10, 2022
Latanya Sweeney is Professor of the Practice of Government and Technology at the Harvard Kennedy School and in the Harvard Faculty of Arts and Sciences, Editor-in-Chief of Technology Science, and director and founder of the Public Interest Tech Lab and of the Data Privacy Lab.