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105 - Archive Interview: Michael Bowling, AI poker researcher

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Manage episode 332259023 series 3364170
aiandyou에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 aiandyou 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

This and all episodes at: https://aiandyou.net/ .

Are you good at bluffing? Do you think you could beat a computer? What if I told you that it was mathematically proven that the computer would beat you? That's what Michael Bowling did for his program that plays heads-up, limit Texas Hold'Em: he proved that it was impossible to do better than draw against it.

Michael is a professor at the University of Alberta, a research scientist at DeepMind, and has been on Scientific American Frontiers, National Geographic Today, and featured in exhibits at the Smithsonian.

This is an interview from an unreleased archive interview from 2016, recorded at the Canadian Artificial Intelligence Association annual conference. I was pretty green at this then, but Michael's answers are illuminating and just as useful today despite advancements in computer poker since then. He also talked about work being done on video games, and the conversation about artificial general intelligence that was just starting to become intense around the AI community then.

All this plus our usual look at today's AI headlines.

Transcript and URLs referenced at HumanCusp Blog.

  continue reading

201 에피소드

Artwork
icon공유
 
Manage episode 332259023 series 3364170
aiandyou에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 aiandyou 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

This and all episodes at: https://aiandyou.net/ .

Are you good at bluffing? Do you think you could beat a computer? What if I told you that it was mathematically proven that the computer would beat you? That's what Michael Bowling did for his program that plays heads-up, limit Texas Hold'Em: he proved that it was impossible to do better than draw against it.

Michael is a professor at the University of Alberta, a research scientist at DeepMind, and has been on Scientific American Frontiers, National Geographic Today, and featured in exhibits at the Smithsonian.

This is an interview from an unreleased archive interview from 2016, recorded at the Canadian Artificial Intelligence Association annual conference. I was pretty green at this then, but Michael's answers are illuminating and just as useful today despite advancements in computer poker since then. He also talked about work being done on video games, and the conversation about artificial general intelligence that was just starting to become intense around the AI community then.

All this plus our usual look at today's AI headlines.

Transcript and URLs referenced at HumanCusp Blog.

  continue reading

201 에피소드

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