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.