A human player beat a top-ranked AI system in 14 out 15 games of Go, using tactics suggested by a computer program that had probed the AI system for weaknesses (Richard Waters/Financial Times)

A human player beat a top-ranked AI system in 14 out 15 games of Go, using tactics suggested by a computer program that had probed the AI system for weaknesses (Richard Waters/Financial Times)

A human player beat a top-ranked AI system in 14 out 15 games of Go, using tactics suggested by a computer program that had probed the AI system for weaknesses (Richard Waters/Financial Times)

A human player beat a top-ranked AI system in 14 out 15 games of Go, using tactics suggested by a computer program that had probed the AI system for weaknesses (Richard Waters/Financial Times) https://bit.ly/3ICokol

Richard Waters / Financial Times:
A human player beat a top-ranked AI system in 14 out 15 games of Go, using tactics suggested by a computer program that had probed the AI system for weaknesses  —  Amateur Kellin Pelrine exploited weakness in systems that have otherwise dominated board game's grandmasters


0 Response to "A human player beat a top-ranked AI system in 14 out 15 games of Go, using tactics suggested by a computer program that had probed the AI system for weaknesses (Richard Waters/Financial Times)"

Post a Comment

THANK YOU

Iklan Atas Artikel

Iklan Tengah Artikel 1

Iklan Tengah Artikel 2

Iklan Bawah Artikel