Nvidia CEO Jen-Hsun Huang directly addressed the supercomputer called Drive PX2 in his keynote speech.
Nvidia started the CES 2016 with their traditional first keynote. In the keynote Nvidia CEO introduced the world to a supercomputer. The supercomputer is called Drive PX2 and is used to design autonomous cars.
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In his keynote Nvidia CEO Jen-Hsun Huang immediately addressed their latest technological advancement. The punchline by Nvidia was surprising is the least to say.
Nvidia has always been known for their processor power. Their processing power is supposedly equivalent to 150 MacBook Pros.
According to Nvidia an accurately designed self-driving car needs to have a ton of processing power. It believes the processing power can handle all the sensors and controls.
For autonomous learning a big processor is necessary. Nvidia claims their new supercomputer PX2 is capable of all that comes with an autonomous car. PX2 has the ability to process the inputs of 12 video cameras. The supercomputer also contains lidar, radar and ultrasonic sensors.
"Drivers deal with an infinitely complex world," said Jen-Hsun Huang, co-founder and CEO, NVIDIA. "Modern artificial intelligence and GPU breakthroughs enable us to finally tackle the daunting challenges of self-driving cars.
"NVIDIA's GPU is central to advances in deep learning and supercomputing. We are leveraging these to create the brain of future autonomous vehicles that will be continuously alert, and eventually achieve superhuman levels of situational awareness. Autonomous cars will bring increased safety, new convenient mobility services and even beautiful urban designs -- providing a powerful force for a better future."
Nvidia also announced they already have Volvo on board as their first partner. Volvo will use Drive PX2 in the tests of their self-driving vehicles. Nvidia has also created a reference platform known as the ‘Nvidia Drivenet’.
The platform is already testing its own self-driving cars. The platform comes with nine inception layers for training purposes. Nvidia will continue to develop the platform in real time.
Nvidia will also start working with Audi very soon. Similarly BMW and Ford will also use the Drive PX2 in the future to test their self-driving cars.
"Using NVIDIA's DIGITS deep learning platform, in less than four hours we achieved over 96 percent accuracy using Ruhr University Bochum's traffic sign database. While others invested years of development to achieve similar levels of perception with classical computer vision algorithms, we have been able to do it at the speed of light," said Matthias Rudolph, director of Architecture Driver Assistance Systems at Audi.
"BMW is exploring the use of deep learning for a wide range of automotive use cases, from autonomous driving to quality inspection in manufacturing. The ability to rapidly train deep neural networks on vast amounts of data is critical. Using an NVIDIA GPU cluster equipped with NVIDIA DIGITS, we are achieving excellent results," said Uwe Higgen, head of BMW Group Technology Office USA.
"Due to deep learning, we brought the vehicle's environment perception a significant step closer to human performance and exceed the performance of classic computer vision," said Ralf G. Herrtwich, director of Vehicle Automation at Daimler.
"Deep learning on NVIDIA DIGITS has allowed for a 30X enhancement in training pedestrian detection algorithms, which are being further tested and developed as we move them onto NVIDIA DRIVE PX," said Dragos Maciuca, technical director of Ford Research and Innovation Center.
The DRIVE PX 2 development engine will be generally available in the fourth quarter of 2016. Availability to early access development partners will be in the second quarter.
Read more about latest innovations, gadgets and the tech items coming to CES 2016 in our CES Hub.
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The Consumer Electronics show 2016 is organized by the CTA. The CES venue is Las Vegas, Nevada. The Consumer Technology Association has been the organiser for over 4 decades. The CES 2016 will carry on from the 6th until the 9th of January, 2016.