{"id":6289,"date":"2015-12-07T22:57:52","date_gmt":"2015-12-07T22:57:52","guid":{"rendered":"https:\/\/wordpress-240247-737707.cloudwaysapps.com\/?p=6289"},"modified":"2015-12-07T22:57:52","modified_gmt":"2015-12-07T22:57:52","slug":"deep-learning-games-and-seo","status":"publish","type":"post","link":"https:\/\/idzyns.com\/deep-learning-games-and-seo\/","title":{"rendered":"Deep Learning AI: Will Games and SEO Best be Handled by Robots?"},"content":{"rendered":"
On Wired.com today was an exceptional article about the rivalry between Facebook researchers and Google researchers to develop the first Artificial Intelligence ‘Go’ Grandmaster. For those of you unfamiliar with it, ‘Go’ is the Eastern equivalent of Chess in the West. The difference between them is quite vast, however. The problem AI scientists face is the complexity of Go to Chess. According to the author, a player has on average 35 moves one can make, followed by 35 moves, etc, until the game nears its end. In Go, players have on average 250 moves possible per turn, followed by 250 moves, etc. This creates a unique issue: Checkers and Chess AI have all been based on decision-making algorithms, so they decide in advance what is the best possible move to make. The sheer exponential amount of moves to analyze renders this AI form incapable of competing effectively at Go, as the AI cannot calculate possible outcomes timely enough.
\nEnter ‘Deep Learning.’ Deep Learning is an AI form that approximates functionality of human neural networks, adapts to stimuli, and effectively ‘learns’ by visual patterns and spacial awareness of the game’s board. Essentially, it emulate’s natural thought processes and human brain activity while playing and being consciously aware of the board. Apparently as one plays a game, eventually the decision-making process lends in to experience, or visualizing the game-state and acting upon the context of the board to result in the best potential move. This form of AI varies greatly from what is known as “Tree Search,” exhibited by the Checkers and Chess AIs. How this works specifically is much like a process of elimination based on analysis of the outcome of one’s moves.
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