Intel Editorial: Intel Will Succeed in Autonomous Driving - I Bet My Career on It
May 03 2017 - 3:15PM
Business Wire
Putting Self-Driving Cars on the Road Will Be My Biggest
Accomplishment
The following is an opinion editorial provided by Doug Davis,
senior vice president and general manager of the Automated Driving
Group (ADG) at Intel Corporation:
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Intel’s Doug Davis, senior vice president
and general manager of the Automated Driving Group (ADG) at Intel
Corporation, speaks to investors and media about Intel’s role in
the autonomous vehicle market as part of Intel’s Investors Day
events at the 2016 Intel Developer Forum in San Francisco on
Thursday, Aug. 18, 2016. (Credit: Intel Corporation)
For more than 30 years, I have climbed out of bed to go work at
Intel. But never in those 30 years have I been more excited to do
so than I am right now leading Intel’s autonomous vehicle team.
Don’t get me wrong – I’ve had an absolutely wonderful career and
have worked on some programs that have had a significant impact on
the world around us. But the chance to solve one of the most
complex technology challenges of our time, the opportunity to help
the auto industry reinvent transportation, the potential to save a
million lives every year – those things are unlike anything I’ve
done before. They’re the reason I postponed my retirement.
Press Kits: 2017 Autonomous Driving Workshop | Autonomous
Driving at Intel
I have unwavering confidence that Intel will succeed in
autonomous driving. We have an astounding breadth and depth of
experience and the world’s finest technology toolkit to apply to
this challenge. We have tapped resources from across the company
and have added experienced talent from the automotive industry. Our
teams are operating in high gear and will deliver the necessary
technology breakthroughs. Here’s why:
First: We are already demonstrating great progress
Intel technology is in hundreds of autonomous test vehicles on
the roads today. Not all carmakers are talking about who is
powering the brains in their test cars lest they give away secrets.
But the fact is many of them are using Intel. I encourage you to
open their trunks, boots or hatchbacks and see which tech company
they are relying on the most to provide the brains for their
development vehicles.
Today we are also showing off one of the first of approximately
40 highly automated driving (HAD) cars promised from BMW, Intel and
Mobileye this year. It was less than a year ago that the three
companies announced plans to bring highly and fully autonomous
vehicles into series production by 2021 through the development of
a common platform. We are now successfully demonstrating that
platform and are preparing plans to bring it to market for other
OEMs and tier-one suppliers to accelerate their programs. Stay
tuned for more on that front.
Second: We are prepared for the data challenge
The single most important factor in autonomous driving is data –
how best to process it, manage it, move it, store it, share it and
learn from it. From PCs to data centers and everywhere in between,
no company’s silicon has analyzed, computed and moved more data
than Intel’s. As we move down the road toward autonomous cars, the
data challenge will become much more complex and require new ways
to work with data inside the vehicle, throughout the network and
across the cloud.
To ensure we have the absolute right strategy to handle that
data challenge, we’ve installed the first of several planned data
centers dedicated to autonomous driving. These unique labs will be
used for algorithm development and training, as well as for
understanding the special infrastructure needs for autonomous
driving data movement and storage. Researchers will continually
feed information from Intel’s test cars into these data centers to
train neural networks and improve machine learning algorithms. And,
we’re busy building similar labs with customers and partners.
Which brings me to artificial intelligence (AI). Mastering AI
both inside the car and in the data center will be essential to the
autonomous driving data challenge. Here it’s important to remember
that autonomous driving isn’t a game. When cars are thinking and
acting without human intervention, they must be able to do so in a
safe and trustworthy way. The artificial intelligence needed to
make this happen isn’t just computer vision – think voice,
decision-making, personalization and preferences. Each of those AI
workloads needs a different set of algorithms and likely different
kind of processing for optimum performance. If all we needed was a
supercomputer to handle the autonomous driving data challenge, our
work would be done.
Third: We’ve built big industries before and will do it
again
I’ve said this before: Autonomous driving will accelerate when
the industry comes together to align on common platforms and
technologies. That enables developers to go quickly and in volume
while still differentiating their solutions in software.
How do I know this? Let’s look at the PC and server industries
as examples: Before 1980, the computer industry was highly
proprietary, serving primarily researchers, big companies and
hobbyists. This changed a few years later when IBM built the first
personal computer using mostly off-the-shelf parts and an
outsourced operating system. These early PCs were the base for a
standardized approach to computer design that led to faster
evolution of technology and 150x growth in two decades.
The data center is similar. After mainframes came microcomputers
that enabled some flexibility and cost-effectiveness. But it was
the adaptation of PC technology that allowed data centers to evolve
quickly to handle the data that came with the internet. IDC
reported there were 1.8 zettabytes of data generated in 2011, and
the agency estimates we will generate over 40 zettabytes by 2020.
Only through standardized solutions have we been able to grow the
industry fast enough to keep up.
Which brings me back to autonomous cars. There are plenty of
naysayers who think Intel’s experience in enabling rapid scaling
cannot be replicated in autonomous driving. At the same time, there
are plenty in the automotive industry who don’t understand how open
collaboration can enable differentiation and innovation. I
understand the skepticism, but from years of experience, I know
that technology solves problems best when it’s organized around
common platforms and predictable interfaces. Without a doubt,
that’s the fastest way forward on our autonomous journey.
As a society, I don’t think we can afford to continue down a
proprietary path. The cost in time, money and human lives is too
great. The faster we can deliver autonomous driving technology and
take humans out of the driver’s seat, the faster we can save lives.
It’s that simple – and that important. And I am confident Intel
will not only succeed in helping our partners put self-driving cars
on the roads, we will do so in the fastest, smartest way
possible.
Doug Davis is senior vice president and general manager of the
Automated Driving Group (ADG) at Intel Corporation.
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Intel CorporationDoug Davisautonomousdriving@intel.com
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