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.