Getting started in AI might seem a little overwhelming at first.
All the deep neural networks and deep learning
might be, well, too deep, right?
I'm David Shaw, and in this episode of AI News,
we'll teach you how to jump off the diving board
into the deep end, pun intended.
[DIGITAL EFFECT]
The exciting thing about AI is that it
can revolutionize any industry.
Most people think of it as being something out of reach,
that only computer science and engineering experts can do.
But in reality, AI can also be applied to all kinds of things,
including sports performance, photos, ad targeting, voice
searches, industrial maintenance,
creating maps, image recognition for those who might be visually
impaired, I could keep going.
Many compare the future influence of AI
to things like the industrial, technical and digital
revolutions.
So how can you get started in an AI-infused world?
Intel has a lot of tools that can help.
Start by getting involved in the AI community.
Check out the AI page on the Intel Developers Zone.
Here you can find tutorials and learn
about AI conferences and meet-ups
happening in your area.
For students, there's the Intel Student Ambassador Program.
Here, you can access resources like free software tools
and libraries, as well as direct access
to the Intel AI Dev Cloud and more.
Next, take a look at AI-optimized frameworks.
One of these, Caffe, is popular among developers,
specifically for image recognition.
And TensorFlow is another framework for deep learning
and creating models.
Finally, make sure you have the right hardware.
The Intel Xeon scalable processor family
delivers great power for machine learning.
You'll need that power for all the processing AI takes.
Those were just a few simple tips to get you started in AI.
To learn more about how you can get involved, check out
the article in the links provided.
Thanks for watching AI News and we'll see you next week.
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