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A machine-learning system may have predicted the World Series winner
The 2019 MLB postseason has been a wild one. The Dodgers imploded in the first round, clearing the way for the Washington Nationals to rout a listless Cardinals team and win their first NLCS since 1933. Back East, the Astros won out against the Yankees for American League dominance and a ticket to the World Series. All of these upsets have made the postseason a joy for fans but a nightmare for the gambling community. However, one company thinks it has the answer: Combine the collective wisdom of crowds with modern machine-learning methods into a symbiotic sports-betting hive mind.
AI is better at bluffing than professional gamblers
The act of gambling on games of chance has been around for as long as the games themselves. For as long as there's been money to be made wagering on the uncertain outcomes of these events, bettors have been leveraging mathematics to give them an edge on the house. As gaming has moved from bookies and casinos into the digital realm, gamblers are beginning to use modern computing techniques, especially AI and machine learning (ML), to increase their odds of winning. But that betting blade cuts both ways, as researchers work to design artificial intelligences capable of beating professional players at their own game -- and even out-wagering sportsbooks.
AI that picked Oscar winners could predict the next US president
There's strength -- and intelligence -- in numbers. Unanimous A.I., a Silicon Valley startup, has built a platform that taps into the collective knowledge of a group of people to form its own opinions, preferences and surprisingly accurate predictions. The software, dubbed UNU, successfully guessed last year's Oscar winners (11 out of 15 categories) and most recently predicted the winning horses in the Kentucky Derby. Now the "artificial swarm intelligence" is hosting its first AMA on Reddit, where it will respond to questions pertaining to the US presidential elections.
