Now we’re seeing the techniques used to conquer the gaming world moving to the real world.A newsworthy example of game-tested technology entering the real world was when Deep Mind used neural networks to make Google’s data centers more efficient.This begs questions: What else in the world looks like a game?Or what else in the world can we reconfigure to make it look more like a game? Developers are dodging meter maids (brilliant—a modern day Paper Boy), categorizing cucumbers, sorting trash, and recreating the memories of loved ones as conversational bots.Ah, the great chatbot explosion of 2016, for better or worse—we liken it to the mobile app explosion we saw with the launch of i OS and Android.The dominant platforms (in the machine intelligence case, Facebook, Slack, Kik) race to get developers to build on their platforms.
The maturing of that stack might explain why more established companies are more focused on building legitimate machine intelligence capabilities.Disclaimer: has a zero-tolerance policy against illegal pornography.We do not own, produce or host the videos displayed on this website. We have no control over the content of these websites.The gaming world offers a perfect place to start machine intelligence work (e.g., constrained environments, explicit rewards, easy-to-compare results, looks impressive)—especially for reinforcement learning.And it is much easier to have a self-driving car agent go a trillion miles in a simulated environment than on actual roads.
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