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>> Now we get to go deeper into that conversation plus
get the latest on Intel's work with
Computer Vision, OpenVINO, and more.
Please welcome OpenVINO Evangelist Raymond Lo.
Raymond, how's it going, buddy?
>> Hi Seth, how are you?
>> It's so good to see you.
Tell us what you do at Intel.
>> I'm the OpenVINO Software Evangelist.
What I do is I connect with many developers around
the world and teaches how to use the AI.
Before that, I was doing Computer Vision research.
I was in school then I found a company.
I was a start-up executive.
I have a long journey of being a developer.
Why is it important? I called, that's why I'm here.
>> I love that because you and I are the same.
I love Computer Vision and
you all do some amazing work in Computer Vision.
Can you tell us about the work you do with OpenCV?
>> Yes. First, I think there's
a very interesting story about OpenCV.
>> I love it.
>> It's actually from Intel guys.
It's from Intel 20 years ago where we think about, "Okay,
everyone's trying to make their own loops for
how to resize the image. Do something simple.
But what if we make a very
efficient library everyone can use?"
That's where we take off because
it's about the community.
People took that on it and
the last 20 years you see the amazing growth.
You can see now OpenCV
is not just about computer efficiency.
We think about how we see this world.
That's where AI kicks in.
It helps you to understand everything.
>> That's cool. When you talk about seeing the world,
Intel has a lot of hardware to help you see the world.
I heard about a camera.
Can you tell me a little bit about it,
and what it lets developers do.
>> I got to pull it up. I just have it right here.
>> Love it.
>> This is one of the camera that
is actually done by OpenCV in partnership
with Luxonis. What they have done is
creating a stereo camera that can see 3D,
but more importantly, with a Myriad X,
which is an Intel chips for neural network acceleration.
It can run AI application
directly in the hardware. Why is it so cool?
Think about you can do spatial AI with object detection,
but you have the 3D information on top.
Think about gesture tracking and all
that. And because of that ease of use -
so, this is one of the very interesting one
because you can program very quickly.
You can deploy things instead of years,
even hours we can get fixed running.
So what happened is one of the university,
the University of Georgia Institute
for Artificial Intelligence,
they build a backpack.
That backpack allow people to see for the blind so that
they can tell you what is in front of you
so you can be aware of what's happening.
I think that's amazing. It's changing this world.
>> Hold on. Bring that camera back.
Are you saying that there's hardware on there where
the models are being interpreted
literally on that device
right there and not going anywhere else?
>> Perfect. I got to very slow
down because when I see this,
you may think it's just a hardware, no.
Behind the scene, there's something called OpenVINO.
This is where Intel build to help
the community for the ecosystem
to build software efficiently.
We talked about deploying this on this,
but with the tool,
you can get performance gain.
You can actually deploy with many different models.
This hardware can now run, for example,
I talk about object detection.
You can do facial, you can do many things,
but the key is you can deploy it within hours.
This is one thing I think a lot of
us have the pain as a developer.
Once you write code, where does it go?
Can you put it on hundreds of millions of
devices that you can use?
That's one of the thing we're trying to answer at Intel.
>> That's cool. I love looking at the hardware, and you
alluded to some software OpenVINO.
Can you tell us a little bit more about the software that
Intel is building to help
people use these models on the hardware?
>> Yes. OpenVINO for example,
I talk about it a lot.
The definition is open.
First, it's open-source, second is VINO means
Visual Inference & Neural Network Optimization.
What it means is we try to create
this big library where everyone can use,
at the same time, where you can now think about you have
all these models you can already
deploy and you can use it all at once.
This library I think for us is
getting the performance gain and then getting
the real deployment that's tested and you can
benchmark against on many of the hardware we supported.
Why we do that is, think about everyone trying to
do the only little version of that.
Like OpenCV, now we have one way
that we as a community open source,
everyone can contribute and try together.
>> I understand Intel has also
been working with Azure Confidential Computing.
Excited to see that there are now
solutions that help protect data while it's in use.
What's going on in the world of
confidence computing for you all at Intel? Raymond.
>> Most importantly, Mark just talked
about we have been working with partners like Fortanix.
BeeKeeperAI, for example, from UCSF,
they built a solution that help to protect
the algorithm and also the patient data, in use.
That's very important because now think about developer,
researcher can bring that data together
in a very secure and privacy way.
This is one of the bottleneck.
How can you improve a model?
You need data. Now you can ensure
that these data are always trusted.
Because in a medical setting, privacy is very important.
With that platform and solution,
all these thoughts are connected and
with the Intel SGX behind it,
we have even better, better security.
>> Yeah, I was looking at BeeKeeperAI.
It was amazing the stuff they were doing.
So make sure everyone goes and looks that up.
Raymond, we have about two minutes.
I saw you had a panel on
Windows Subsystem for Linux. Tell us about that.
>> Yes. I'm a Linux user.
A lot of you are. There's always like, "Can I keep both?
Can I have Windows and Linux at the same time?"
Today I'm living in a dream where you can
have Linux running natively on Windows.
Why it's important to me is now you can think about
all the AI application I wrote in Linux,
can be run natively very easily.
But for the longest time,
we think about if the hardware is not fully
connected with the WSL2.
Finally, we have this connection
so that I can get acceleration like the GPU,
the iGPU on the graphics card
on your machine now can be utilized.
Why is it important? It's like finding free money
under the sofa when I run OpenVINO.
Yes, you can get extra boost right now.
>> I love all of this.
Look, I've been using Intel chips
since I was a little baby.
I love the hardware and the software that Intel is doing.
Where can people go to find out
more and learn more
about it? What should they search for?
>> First, look up OpenVINO.
Then we have a partner page where you
can find all the notebooks,
all the tutorial they create.
I even gave a talk around that.
Those are the material you can today take home and
try at your own computer tonight. They are free.
>> Awesome. Raymond, I hope we get to do a lot of
more cool stuff, AI stuff together.
It's been great talking with you.
Thanks for joining us, my friend.
>> Thank you very much.
>> If you want to learn more
about everything Raymond just shared,
visit Intel in our Featured Partner showcase.
You can check out the Intel and
Microsoft breakout session on
demand in the session catalog.
And finally, don't miss Intel's upcoming
Ask The Experts session in the Connection Zone to
learn how to take
advantage of Windows Subsystem for Linux,
which includes our very own Scott Hanselman.