FILE – Lisa Moeller takes a photo of the NCAA bracket for the NCAA college basketball tournament on the side of the JW Marriott in downtown Indianapolis, March 17, 2021. While the advancement of artificial intelligence into everyday life has made “AI” one of the buzziest phrases of the past year, its application in bracketology circles is not so new.
They have found that machine learning alone cannot quite solve the limited data and incalculable human elements of “The Big Dance.” The odds of crafting a perfect bracket are stacked against any competitor, however advanced their tools may be. An “informed fan” making certain assumptions based on previous results — such as a 1-seed beating a 16-seed — has a 1 in 2 billion chance at perfection, according to Ezra Miller, a mathematics and statistical science professor at Duke.Artificial intelligence is likely very good at determining the probability that a team wins, Miller said.
Ford, the Purdue fan who watched last year as the shortest Division I men’s team stunned his Boilermakers in the first round, takes it a different direction. Since 2020, Ford has tried to predict which schools will make the 68-team field.
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