From BBC Technology
The AI system, called Lengpudashi, won a landslide victory and $290,000 (£230,000) in the five-day competition.
It is the second time this year that an AI program has beaten competitive poker players.
The AI systems were the work of Tuomas Sandholm, a computer science professor at Carnegie Mellon University in the US, and PhD student Noam Brown.
Unlike chess and Go, in which all the playable pieces are visible on the board, poker is what computer scientists call an "imperfect information game".
This means relying on complicated betting strategies and a player's ability to bluff, or spot when opponents are bluffing.
"People think that bluffing is very human," Mr Brown told Bloomberg, "It turns out that's not true."
"A computer can learn from experience that if it has a weak hand and it bluffs, it can make more money."