sportscaster
Podcast: How games teach AI to learn for itself
From chess to Jeopardy to e-sports, AI is increasingly beating humans at their own games. But that was never the ultimate goal. We meet the big players in the space, and we take a trip to an arcade. To make this episode, we also spoke to Natasha Regan, Actuary at RPC Tyche, Chess WIM and co-author of "Game Changer". This episode was reported by Jennifer Strong and Will Douglas Heaven and produced by Anthony Green, Emma Cillekens and Karen Hao. Our mix engineer is Garret Lang. Trebeck: Today we're announcing a Jeopardy competition unlike anything we have ever presented before. Jennifer: Ten years ago, the television quiz show Jeopardy unveiled a new player... Well, his name is Watson. Documentary Announcer: [music] Watson is an IBM computer designed to play Jeopardy. Watson understands natural language with all its ambiguity and complexity." Jennifer: And perhaps not surprisingly... given that playing Jeopardy is the thing it was designed to do… Watson was good.
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