DeepMind details OpenSpiel, a collection of AI training tools for video games

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Reinforcement learning, the AI training technique that's brought to fruition systems capable of defeating world poker champions and guiding self-driving cars, isn't the simplest thing in the world to wrangle. That's particularly true in the gaming domain, where cutting-edge approaches sometimes require bespoke tools that aren't publicly available. In a paper recently published on the preprint server Arxiv.org, At its core, it's a collection of environments and algorithms for research in general reinforcement learning and search and planning in games, with tools to analyze learning dynamics and other common evaluation metrics. "The purpose of OpenSpiel is to promote general multiagent reinforcement learning across many different game types, in a similar way as general game-playing but with a heavy emphasis on learning and not in competition form," wrote the researchers.


'Machine learning' is a revolution as big as the internet or personal computers

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Sean Gallup / GettyDon't worry, the machines are your friend. It used to be the case that you had to program a computer so that it knew how to do things. Now computers can learn from experience. The breakthrough is called "machine learning." It's unimaginably important for understanding where technology is going, and where society is going with it.


'Machine learning' is a revolution as big as the internet or personal computers

#artificialintelligence

Sean Gallup / GettyDon't worry, the machines are your friend. It used to be the case that you had to program a computer so that it knew how to do things. Now computers can learn from experience. The breakthrough is called "machine learning." It's unimaginably important for understanding where technology is going, and where society is going with it.


'Machine learning' is a revolution as big as the internet or personal computers

#artificialintelligence

Sean Gallup / GettyDon't worry, the machines are your friend. It used to be the case that you had to program a computer so that it knew how to do things. Now computers can learn from experience. The breakthrough is called "machine learning." It's unimaginably important for understanding where technology is going, and where society is going with it.


At CES 2017, Alexa, paper-thin TVs were early stars

USATODAY - Tech Top Stories

Columnist Jennifer Jolly tries out Alexa on the Ford, peers at TVs held to walls by magnets, and tests a'smart bike'. There's the equivalent of some 43-football fields worth of space filled with gadgets at CES 2017. With that many tech toys to explore, they all start to blur together pretty quickly. Here's what I've seen so far that's made an impression. Ford is making it all possible with its SYNC 3 AppLink software, so you can use Alexa's voice commands to ask for directions, get a rundown of the top headlines, add milk to your shopping list, or catch the latest New York Times bestseller via audiobook.