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Google AI Programming Apple

Google Hires Former Star Apple Engineer Chris Lattner For Its AI Team (bloomberg.com) 49

An anonymous reader shares a report: Chris Lattner, a legend in the world of Apple software, has joined another rival of the iPhone maker: Alphabet's Google, where he will work on artificial intelligence. Lattner announced the news on Twitter on Monday, saying he will start next week. His arrival at Mountain View, California-based Google comes after a brief stint as head of the automated driving program at Tesla, which he left in June. Lattner made a name for himself during a decade-plus career at Apple, where he created the popular programming language Swift. Lattner said he is joining Google Brain, the search giant's research unit. There he will work on a different software language: TensorFlow, Google's system designed to simplify the programming steps for AI, according to a person with knowledge of the matter.
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Google Hires Former Star Apple Engineer Chris Lattner For Its AI Team

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  • AI is right around the corner now. Any day soon it will appear. I promise.
  • by Anonymous Coward

    Because you'll be FIRED or CENSORED

  • Did they check his gender and his political views beforehand? I mean, i am ok with any of his opinions/options, but they would skip a lot of sjw drama in the next firing.
  • He is the man behind LLVM. I'm more worried about that.
    • by sl3xd ( 111641 )

      He is the man behind LLVM. I'm more worried about that.

      And Clang - Clang pushed the state of the art forward, and gave GCC a much-needed kick in the ass.

      Not being an AI researcher, nor compiler developer, I wonder how much crossover there is between AI and optimizing compilers... part of me thinks there may be more similarities that would appear obvious at first.

      It'll be interesting to see if Lattner's as successful with AI as he has been with compilers.

      • I wonder how much crossover there is between AI and optimizing compilers

        A lot...if you're a Lisper, that is.

      • by imgod2u ( 812837 )

        The impression I get is that much of the hardcore algorithms behind AI are old and basically well-known and set. There's a lot of work to build frameworks (like Tensorflow) and API's that allow people to experiment with their own processing pipelines that take the basic AI building blocks (memory, error feedback, convolution) so that they can trial-and-error at a rapid pace using large data sets.

        That's certainly what Lattner is good at.

  • by Anonymous Coward

    But he is a white male ...

One man's constant is another man's variable. -- A.J. Perlis

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