FELIX BAUM: [MUSIC]
Hello. My name is Felix Baum.
I am Director of Product Management at Qualcomm,
responsible for AI technologies.
With arrival of 5G and the rapid advancement of AI,
we're seeing a new paradigm and the transformation.
Now, the transformation of
the connected intelligent edge has begun at a scale,
and data processing is happening
closer and closer to the edge devices.
In the past, AI was
completely associated with the Cloud.
Now, we moved from this Cloud centric AI
of the past to the world where we have partially
distributed AI with inference happening on
both device and a Cloud edge
and training happening in a Cloud.
Now, in the future,
we expect that not only inferencing
but also training will happen on device.
Now, we call
this fully distributed AI environment
where devices will see
continuous enhancements from on-device learning.
Processing data closest to the source provides
the benefits I mentioned and also helps AI to scale.
Qualcomm is born in Mobile.
We are leader in on-device AI
and we believe this is the future of the AI.
The on-device AI is high performance,
low power, low latency, and ultra secure.
We are in the unique position to
deliver that future of AI to you today.
We take that AI technology we developed in
our flagship mobile products
and leverage across other solutions.
Earbuds, secure cameras, XR headsets,
automotive entertainment units, and even laptops.
We take the same AI capability
and apply to all of the other Qualcomm products.
We call it the connected intelligent edge where all of
these devices are connected and they're
all running on-device AI.
To give you an example of what I mean,
imagine taking an AI based feature
such as AI noise cancellation that
we scale to fit inside
a tiny wireless earbud
and then moving it to the mobile phone,
an XR goggle,
secure camera all the way to
the laptop and then moving it all the way to a car
with advanced features like
driving multiple speakers and microphones
for the best AI noise cancellation experience
for your whole family.
Snapdragon compute platforms AI
is all about performance and efficiency,
enabling AI accelerated phase detection,
background blur, audio blur, and transcription.
With the Qualcomm AI Engine,
we provide all of the performance that is
required to enable these incredible features.
We are just scratching the surface
of possibilities for the types and
quality of experiences that can be enabled on
devices with the powerful Qualcomm AI Engine,
even on ultra thin and light portable devices.
Normally, such a feature alone on
an older PC would draw additional 15 watts of power,
making this feature not feasible for the traditional PCs.
Now, today, using the integrated Qualcomm AI Engine,
this feature consumes 50 times less power,
only 300 milliwatts.
Yes, you heard me correctly.
That is 50 times less power.
Now, we believe in delivering
these powerful and efficient AI experiences across
all tiers of Snapdragon compute platforms.
Let's look at these platforms.
We're seeing a rapid adoption of AI to accelerate
new and existing applications for
better quality and enhanced productivity.
The high performance AI acceleration delivered on
the HCXGM3 runs efficiently at low power,
and the experiences we are building
enable us to take computing to the next level.
This is how technology plays in our new hybrid world.
We are super excited about
this leading use cases converging mobile and compute.
The environment you might find
yourself working can be usually
loud with people talking
or even dogs barking in the background,
but with our AI accelerated
echo cancellation and noise suppression,
we can remove unwanted sounds,
keeping your voice loud and clear.
Face Tracker can track
over 500 facial landmarks to
identify how your lips are
moving or where you're looking,
enhancing every video experience.
Segmentation techniques labels every pixel
as either foreground or background,
making sure you always stand out in the frame.
Super resolution allows you to look great in every call,
regardless of light conditions.
The best part is that all of these features can run
without compromising any CPU or GPU performance,
which is amazing because those features could burn
3-4 times more power in a regular laptop.
We are excited to see how
these features power the future of computing.
This year, many laptop vendors will be launching devices
based on a third generation
Qualcomm Snapdragon compute platform,
but this hardware is only as good as
the software that is available to unleash its power.
Let me highlight a few things here.
We are happy to support
popular frameworks that developers
like you are using to design models.
There are multiple workflows that we are
supporting to accelerate an ML algorithm, whatever,
it's a direct ML workflow,
ONNX RT path,
or Qualcomm Neural Processing SDK,
or as our customers lovingly call it, SNPE.
Let's be frank.
AI does not by itself deliver the end to end experience.
Qualcomm offers a variety of computer vision, math,
and other libraries to be used along within
the machine learning workloads. Lastly, tools.
We provide development community with
a variety of converters, quantizers,
model efficiency toolkits to improve accuracy
and/or performance, and model analyzers.
You can analyze your model to take an arbitrary model and
get it to be optimized for
execution on a Hexagon AI accelerator.
We're making all of these tools
available to help you with your projects.
Please feel free to reach out to
Qualcomm Developer Network for additional information.
Thank you very much for joining
my session. Have a great day.