SDS 569: A.I. For Crushing Humans at Poker and Board Games

Research Scientist at Meta AI, Dr. Noam Brown, joins Jon Krohn to discuss his award-winning no-limit poker-playing algorithms and the real-world implications of his game-playing A.I. breakthroughs. In this episode you will learn: • What Meta A.I. is and how it fits into Meta, the company [3:01] • Noam's award-winning no-limit poker-playing algorithms, Libratus and Pluribus algorithms. [4:33] • What game theory is and how does Noam integrate it into his models? [8:45] • The real-world implications of Noam’s game-playing A.I. breakthroughs [25:24] • Why Noam elected to become a researcher at a big tech firm instead of in academia [27:06] • The main barriers to getting AI game theory techniques beyond games to self-driving cars [30:16] • Recommendations for people who want to break into poker AI [37:45] Additional materials: www.superdatascience.com/569

Om Podcasten

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.