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Chess and Coronary Artery Ischemia

Chess and Coronary Artery Ischemia Circulation: Cardiovascular Imaging EDITORIAL Clinical Implications of Machine-Learning Applications See Article by Coenen et al James K. Min, MD I don’t know where I’m going from here, but I promise it won’t be boring —David Bowie n December of 2017, DeepMind—an artificial intelligence company owned by Alphabet—released a software program called AlphaZero, a machine-learning I(ML) approach to playing the game of chess. Although chess-playing artificial intelligence computers have been showcased for >2 decades before the release of AlphaZero—beginning with IBM’s DeepBlue notorious win against Grandmaster chess champion Garry Kasparov in 1996—the excitement surrounding AlphaZero was for its distinct approach from that taken by DeepBlue, which allowed Alp- haZero to master chess with incomparable rapidity and efficiency. Within 1 day of its release, AlphZero realized superhuman levels of chess play, capable of beat- ing both humans as well as championship chess software programs, such Stock- fish, elmo, and AlphaGo Zero. Notably, AlphaZero was not taught through review of prior games, or by books on chess strategy, or by championship players; but rather learned to play chess by simply self play. After only 4 hours of this self play training, AlphaZero triumphed over Stockfish 8—the leading championship chess software—in a 100-game http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Circulation: Cardiovascular Imaging Wolters Kluwer Health

Chess and Coronary Artery Ischemia

Min, James K.
Circulation: Cardiovascular Imaging , Volume 11 (6) – Jun 1, 2018
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References (22)

Publisher
Wolters Kluwer Health
Copyright
© 2018 American Heart Association, Inc.
ISSN
1941-9651
eISSN
1942-0080
DOI
10.1161/CIRCIMAGING.118.007943
Publisher site
See Article on Publisher Site

Abstract

Circulation: Cardiovascular Imaging EDITORIAL Clinical Implications of Machine-Learning Applications See Article by Coenen et al James K. Min, MD I don’t know where I’m going from here, but I promise it won’t be boring —David Bowie n December of 2017, DeepMind—an artificial intelligence company owned by Alphabet—released a software program called AlphaZero, a machine-learning I(ML) approach to playing the game of chess. Although chess-playing artificial intelligence computers have been showcased for >2 decades before the release of AlphaZero—beginning with IBM’s DeepBlue notorious win against Grandmaster chess champion Garry Kasparov in 1996—the excitement surrounding AlphaZero was for its distinct approach from that taken by DeepBlue, which allowed Alp- haZero to master chess with incomparable rapidity and efficiency. Within 1 day of its release, AlphZero realized superhuman levels of chess play, capable of beat- ing both humans as well as championship chess software programs, such Stock- fish, elmo, and AlphaGo Zero. Notably, AlphaZero was not taught through review of prior games, or by books on chess strategy, or by championship players; but rather learned to play chess by simply self play. After only 4 hours of this self play training, AlphaZero triumphed over Stockfish 8—the leading championship chess software—in a 100-game

Journal

Circulation: Cardiovascular Imaging – Wolters Kluwer Health

Published: Jun 1, 2018

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