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Vincent Moscati Wins ($54,540), Alexander Carmosino Eliminated In Second Place ($33,339)

Alexander Carmasino was all-in holding QJ, but he was dominated by Vincent Moscati’s AQ. The board ran out 885A10 and Moscati finally claimed the last pot of the tournament. Carmosino, who was a runaway freight ...

AI Could Help Prevent Problem Gambling, Group Says

What's Next For Machine Learning In Gaming World?


Artificial intelligence is crushing poker these days, but there could be a better application for the technology than learning how to use blockers to run massive river bluffs.

According to a report from SBC News, a group called Kindred Futures recently hosted a roundtable discussion in London on how AI could spot problem gambling behaviors.

Kindred is an offshoot of the online gambling company formerly known as Unibet.

Because early signs of problem gambling can vary, AI could be a tool to analyze the incomplete information. The roundtable included researchers and industry insiders.

“This was a fascinating discussion, bringing together experts from several different fields," said Will Mace, Head of Kindred Futures. “The outcome was very encouraging – we agreed there was significant potential for an AI capability to bring together and analyse many data sources to give a much-improved ability to detect signs of a developing problem. We also agreed there was real value in doing this – both socially and commercially.”

Earlier this year, a poker bot from Carnegie Mellon University in Pittsburgh, PA defeated a group of four poker pros in a historic 120,000-hand match.