Thanks to Michael Bowing and other scientists, DeepStack has shown the capabilities of artificial intelligence

By now, most people have heard of DeepStack, the artificial intelligence (AI) algorithm that taught itself to win at poker. Not only did it win, but, in a very short time, became more prolific at the game than some players who had been playing for decades. It’s because of Michael Bowing, a computer scientist at the University of Alberta in Canada, and other scientists that DeepStack was born, and why AI is now capable of developing its own intuition.

Bowing and his team looked at AI differently than how it had been viewed previously. DeepStack adapted each decision it made based on the previous experiences to handle situations more appropriately, leading to the AI algorithm being able to change its gameplay in order to stay ahead of the competition. Bowing said at the time, “Where we get (intuition) in DeepStack is very similar to how a human might get it … through experience.”

This introduction of “intuition” to computer brains is a huge step forward from where computer AI previously had lived. This has already led to advancements in AI technology that can now even construct software games on its own based on how it interprets data or, on a more serious level, predict when someone might become ill. DeepStack proved to be a monumental leap forward in AI technology and has helped produce new lines of development that weren’t previously being explored.