Hi, I'm David Shaw.
And welcome to AI News.
In this episode, we'll cover how to gear up
to meet the growing needs of AI.
We will also introduce you to a few tools that will help
you keep up with the AI train.
Don't forget to check the links below to learn more.
AI now relies on machine learning, a class of algorithms
that improve with time.
In this article, Intel Fellow Pradeep Dubey and Dr. Amir
Khosrowshahi of Nervana take a deeper dive
into how machine learning will unlock the true power of AI.
They write, "Data doubles every year, growing at a rate faster
than compute power.
This is the real reason why we are discussing AI,
and the reason why machine learning is an effective tool
for realizing the power of AI."
Did you know that deep neural networks, or DNNs,
were used in the 1990s to help with tasks like handwriting
recognition on bank checks?
Well, today DNNs are used for image recognition, video,
and even autonomous driving.
But DNNs take a ton of compute resources
in the amount of data they process.
Intel's Math Kernel Library 2017 introduces the DNN domain,
which includes functions necessary to accelerate
the most popular image recognition topologies.
This includes AlexNet, VGG, GoogleNet, and ResNet.
Take a look at this article in the link below to learn more.
Don't miss the latest video with [? Meg Naral ?]
as she takes us through the deep learning software developer
kit.
It's a free set of tools for data scientists and software
developers for developing, training, and deploying
deep learning solutions.
The tool now supports Intel Distribution for Caffe.
This training tool for image classification
includes custom networks for model creation,
integration with interactive notebooks,
and the ability to install an OS X, or Amazon Web Services.
It also supports image classification and image
segmentation use cases with interference on floating point
32-bit precision.
Thank you for watching, and make sure you like
and subscribe to keep getting your AI News each month.
And don't forget to check the links below
to read up on the information we covered.