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The Prepare.ai Podcast

Podkast av http://Prepare.ai

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Les mer The Prepare.ai Podcast

The Prepare.ai Podcast explores the fast-paced world of emerging tech from the landscape of the Midwest, with a distinctly non-coastal vibe. Hosted by technologists Fully Teasdale and Dave Costenaro, the Prepare.ai Podcast highlights great work across artificial intelligence and machine learning, data science at scale, virtual reality and augmented reality, and robotics and robotic process automation, and features folks from boots-on-the-ground implementers to vision-creating founders. The Podcast is produced by Prepare.ai, a 501c3 whose mission is to increase collaboration around 4th-industrial revolution technologies in order to advance the human experience. We’re doing it from the heart of the Midwest, where the 1st- and 2nd-industrial revolutions brought growth and innovation, and where the 3rd eroded jobs and urban landscapes. This time, we will not be left behind. We will lead, not follow. Help us Prepare.

Alle episoder

34 Episoder

episode Sanmay Das on Algorithms Making Societal Decisions cover

Sanmay Das on Algorithms Making Societal Decisions

Sanmay Das is a professor of Computer Science at George Mason University. From 2013-2020, he was on the faculty of the Dept. of Computer Science and Engineering at Washington University in St. Louis, where he also founded and served as the first chair of the steering committee of the Division of Computational and Data Sciences. Dr. Das received his Ph.D. from MIT and a Bachelor's degree from Harvard, both in Computer Science. He is chair of the Association for Computing Machinery Special Interest Group on Artificial Intelligence, a member of the board of directors of the International Foundation for Autonomous Agents and Multiagent Systems, and serves as an associate editor for the ACM Transactions on Economics and Computation, the Journal of Artificial Intelligence Research, and Autonomous Agents and Multiagent Systems. He has been recognized with awards for research and teaching, including an NSF CAREER Award and the Department Chair Award for Outstanding Teaching at Washington University.

18. mai 2022 - 51 min
episode WashU's William Yeoh on Fairness in Ride-Sharing Apps cover

WashU's William Yeoh on Fairness in Ride-Sharing Apps

William Yeoh is an associate professor in the Department of Computer Science and Engineering and a co-director of the Division of Computational and Data Sciences at Washington University in St. Louis. His research interests are in optimization, heuristic search, and planning under uncertainty, especially in the context of multi-agent systems. He is an NSF CAREER recipient and was named in IEEE's AI's 10-to-Watch list in 2015. He currently serves on the editorial board of the Artificial Intelligence Journal, on the International Foundation for Autonomous Agents and Multiagent Systems Board of Directors, and on the Symposium on Combinatorial Search Council. He has served on the committees of numerous AI-related conferences including AAAI, AAMAS, ICAPS, and IJCAI. He was also a conference co-chair of the 2019 Symposium of Combinatorial Search (SoCS 2019) and is a program co-chair of the 2022 International Conference on Automated Planning and Scheduling (ICAPS 2022).

15. mars 2022 - 56 min
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