Artificial intelligence has beaten eight world champions at the bridge

Even though people are not ready to accept the fact, there will be a point in the future when Artificial Intelligence (AI) will take over the human race when it comes to various jobs. Some analysts estimate that over 50% of jobs in the world will be lost to Artificial Intelligence in forthcoming years. Jobs like accounting, human resources, management, and more will be obsolete some time in the future, thanks to Artificial intelligence. However, you don't have to wait till 2030 to find out how technologies like Artificial intelligence, Robotics, Machine Learning, and more will overtake mankind as it's already beating humans in the most strategic and complicated games like 'Chess' and 'Go' that have been used as a standard to determine intelligence or IQ levels. This article features five instances of Artificial intelligence busting world champions.

• 1996: IBM's Deep Blue chess machine wins a game against world chess champion Garry Kasparov but loses the match 2-4. A year later, Kasparov loses the rematch. For comparison, one of the most powerful computers, Deep(er) Blue, was able to squeeze out 200 million moves per second.
• 2007: Checkers is solved by researchers at the University of Alberta in Canada. After sifting through 500 billion positions, they build a checkers-playing computer program that can't be beaten.
• 2011: IBM's Watson computer defeats TV game show Jeopardy! Champions Brad Rutter and Ken Jennings, claiming the US$1 million first prize.
• 2016: Google DeepMind's AlphaGo defeats Korean Go champion Lee Sedol 4-1. The Korea Baduk Association awards AlphaGo the highest Go grandmaster rank, an honorary nine dan.
• 2022: NukkAI's bridge-playing computer NooK, A 'next generation' artificial intelligence has beaten the records of eight world champion bridge players for the first time in Paris.

The victory represents a new milestone for Artificial Intelligence because, in the bridge, players work with incomplete information and must react to the behavior of several other players – a scenario far closer to human decision-making.