Microsoft’s AI Is Playing Minecraft to Learn How the World Works

Microsoft's #AI Is Playing #Minecraft to Learn How the World Works

  • Microsoft has made Malmo open source.
  • Minecraft’s sandbox nature could turn it into the perfect training ground for AI.
  • Microsoft’s AI Is Playing Minecraft to Learn How the World Works
  • Microsoft is using an experimental version of its game Minecraft to test the limits of artificial intelligence.
  • Within the game, AI can learn how to get out of mazes or holes on its own, and how to collaborate. “

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@RickKing16: “Microsoft’s #AI Is Playing #Minecraft to Learn How the World Works”


​Would you trust an AI with a diamond pickaxe?​


Microsoft’s AI Is Playing Minecraft to Learn How the World Works

Microsoft will now let anyone test their AI creations in Minecraft

Microsoft will now let anyone test their AI creations in Minecraft

  • You can set your artificial intelligence creations free in Minecraft.
  • 8:00 AM Exclusive: Why Microsoft is betting its future on AI
  • 7:30 AM A ‘Crooked Hillary’ filter that works equally well for ‘Donald Drumpf’
  • 6:50 AM the mechanical keyboard is a great, cheap option for Mac users
  • 9:00 AM Audible launches a subscription podcast network

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@verge: “Microsoft will now let anyone test their AI creations in Minecraft”


Finally, you can set your artificial intelligence creations free in Minecraft. Microsoft has announced a public release for Project Malmo, the company’s system for testing AI software in Minecraft…


Microsoft will now let anyone test their AI creations in Minecraft

GitHub

Very interesting code, lda2vec tools for interpreting natural language  #machinelearning #NLP

  • We build a model that builds both word and document topics, makes them interpreable, makes topics over clients, times, and documents, and makes them supervised topics.
  • lda2vec also yields topics over clients.
  • lda2vec the topics can be ‘supervised’ and forced to predict another target.
  • It’s research software, and we’ve tried to make it simple to modify lda2vec and to play around with your own custom topic models.
  • LDA on the other hand is quite interpretable by humans, but doesn’t model local word relationships like word2vec.

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@andradeandrey: “Very interesting code, lda2vec tools for interpreting natural language #machinelearning #NLP”


Contribute to lda2vec development by creating an account on GitHub.


GitHub