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  • Hi, I'm David Shaw.

  • And welcome to AI News.

  • A very Happy New Year to all, and welcome to 2018.

  • In this episode, we discover the world's first Neural Network

  • Processor.

  • Take a look at a new Deep Learning Edge Solution,

  • and explore Unity Technologies ML Agents exclusively

  • on Intel Architecture.

  • Don't forget to check out the links provided to learn more.

  • Intel is launching its first family of processors designed

  • from the ground up for AI, the Intel Nervana Neural Network

  • Processor.

  • It's a purpose built architecture for deep learning.

  • The goal is to provide the needed flexibility

  • to support all deep learning primitives

  • while making core hardware components as

  • efficient as possible.

  • This processor also has a new memory architecture,

  • and is designed to maximize the utilization of silicon

  • computation.

  • In addition, it can achieve a new level scalability

  • for AI models.

  • Discover a deep learning edge solution

  • that pairs the Raspberry Pi 3 single board computer

  • with the Intel Movidius Neural Compute Stick.

  • This article will show you how to increase the Pi 3

  • performance for computing inference using

  • Google's mobile nets.

  • Learn how to install and run Unity Technologies Machine

  • Learning Agents in CPU only environments from this article.

  • It will teach you how to train ANS

  • to run the ML Agents Balance Balls example on Windows,

  • perform a Tensorflow CMake Build on Windows optimized for Intel

  • AVX 2, and create a simple Amazon Web Services Ubuntu

  • Machine Image Environment from scratch.

  • Additionally, it will show you how

  • to build a Headless Version of Balance Balls for Linux.

  • Thanks for watching.

  • Don't forget to like this video and subscribe to the Intel

  • Software YouTube Channel.

  • Follow the links provided to learn more.

Hi, I'm David Shaw.


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AIニュース|2018年1月|インテルソフトウェア (AI News | January 2018 | Intel Software)

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