AI isn’t just learning to play video games, it’s helping us build them

AI isn't just learning to play video games, it's helping us build them

  • The creators of Unity, the most popular game engine in the world, recently launched a set of machine-learning tools that lay the groundwork for actual AI (not scripted computer opponents) in video games.
  • Typically these kits include rendering aids and simple tools for training neural networks, but the beta release sent to developers promises to revolutionize video games, and provides machine-learning researchers with a perfect environment for training robot brains.
  • Unity provides developers with the tools to create machine-learning agents capable of learning and interacting with each other in a virtual world, which makes it possible to create games inhabited by AI that actually learns, instead of forcing developers into painstakingly scripting behavior by hand.
  • Video game developers have been using the term “artificial intelligence” (AI) since the 1950s to describe a computer opponent designed to challenge humans.
  • This use of the term has no relation to machine-learning; the AI in a video game doesn’t learn anything, it simply executes algorithms.

Unity developers recently got an AI upgrade in the form of machine-learning tools that provide game and AI programmers with next generation capabilities.
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ARM’s next-gen chip design puts the focus on artificial intelligence

ARM’s next-gen chip design puts the focus on artificial intelligence  #5G #IoT #mobile

  • ARM tipped its hand today with the announcement of DynamIQ, a new technology it says will lay the groundwork for its next generation of mobile processors.
  • Like other mobile chip makers, the company’s got a lot to contend with when it comes to future-proofing its offerings, and certainly ARM’s making some pretty big claims for what it’s calling its “biggest micro-architectural shift since […] 2011”

    Central to the company’s speed boasts are its focus on future artificial intelligence, an aspect of technology that will continue to grow more central to mobile computing over the next several years, both through the proliferation of smart-assistants, autonomous vehicles and beyond.

  • As with offerings from other mobile chip makers, the company is targeting a wide range of different computing platforms that move well beyond mobile.
  • Microsoft has already laid some of the groundwork for additional applications back in December when it announced that it would be bringing its apps to the company’s mobile processors, in an attempt to get hardware makers to build a wider variety of devices for the operating system.
  • ARM’s not giving exact dates for the technology’s anticipated arrival, only stating that it expects its hardware partners to ship an additional 100 billion ARM-based chips by the year 2021, having shipped roughly half that number between 2013 and 2017.

ARM tipped its hand today with the announcement of DynamIQ, a new technology it says will lay the groundwork for its next generation of mobile processors…
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StarCraft II Becomes DeepMind AI Research Playground

#StarCraft II Becomes #DeepMind #AI Research Playground  via @PCMag

  • DeepMind’s AI has mastered Go and 2D arcade games; now its sights are set on real-time strategy battles.
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  • After mastering the game of Go , Google’s DeepMind is trying its hand at StarCraft.
  • “Games are the perfect environment in which to do this, allowing us to develop and test smarter, more flexible AI algorithms quickly and efficiently, and also providing instant feedback on how we’re doing through scores.”
  • The Google subsidiary helped lay the groundwork for the use of games as AI research platforms, including playing 2D Atari games and 3D games such as The Open Racing Car Simulator.

DeepMind’s AI has mastered Go and 2D arcade games; now its sights are set on real-time strategy battles.
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