AI News, At CES 2018, Nvidia launches Xavier, an effort to meld autonomous driving and AI

At CES 2018, Nvidia launches Xavier, an effort to meld autonomous driving and AI

Video: CES 2018: 3 themes to watch LAS VEGAS -- Graphics chip giant Nvidia on Sunday unveiled the next generation of its autonomous driving stack powered by Xavier, the company's $2 billion RD bet on automotive AI.

Touted by Nvidia as the 'world's most powerful SoC (system on a chip),' Xavier was built to process Level 5 autonomous driving data from a vehicle's radar, cameras, Lidar and ultrasonic systems with more energy efficiency and a smaller form factor than anything else on the market.

Xavier has more than 9 billion transistors with a custom 8-core CPU, a 512-core Volta GPU, an 8K HDR video processor, a deep-learning accelerator, new computer-vision accelerators, and the ability to perform 30 trillion operations per second on 30 watts of power.

For instance, with facial recognition and gaze tracking, the system can alert a sleepy driver before they nod off behind the wheel, or recognize their face with they approach the vehicle with a cart full of groceries and automatically open the lift gate.

Read also: CES 2018 likely to feature a heavy dose of blockchain, cryptocurrency All of this is tied to the Drive Pegasus AI computing platform, which Nvidia says 'delivers the performance of a trunk full of PCs in an auto-grade form factor the size of a license plate' with 320 trillion operations per second of processing power.

NVIDIA DRIVE

NVIDIA DRIVE™ is the AI platform that enables automakers, truck makers, tier 1 suppliers, and startups to accelerate production of automated and autonomous vehicles.

These range from one passively cooled mobile processor operating at 10 watts, to a multi-chip configuration with four high performance AI processors — delivering 320 trillion deep learning operations per second (TOPS) — that enable Level 5 autonomous driving.

NVIDIA and Aurora Collaborate to Build Next-Generation Autonomous Vehicle Compute Platform

About NVIDIA NVIDIA’s (NASDAQ:NVDA) invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics and revolutionized parallel computing.

and the benefits, abilities and performance of NVIDIA DRIVE Xavier are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations.

as well as other factors detailed from time to time in the reports NVIDIA files with the Securities and Exchange Commission, or SEC, including its Form 10-Q for the fiscal period ended October 29, 2017.

These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

NVIDIA DRIVE Xavier, World’s Most Powerful SoC, Brings Dramatic New AI Capabilities

Built to bring AI to every aspect of the driving experience — and provide a technological path forward for the 320-plus companies and organizations working with us on autonomous vehicles — our first DRIVE Xavier autonomous machine processors are up and running.

With more than 9 billion transistors, Xavier is the most complex system on a chip ever created, representing the work of more than 2,000 NVIDIA engineers over a four-year period, and an investment of $2 billion in research and development.

While the technical details are complex, the story is simple: DRIVE Xavier puts more processing power to work using less energy, delivering 30 trillion operations per second while consuming just 30 watts.

Delivering the performance of a trunk full of PCs in an auto-grade form factor the size of a license plate, it’s the world’s first AI car supercomputer designed for fully autonomous Level 5 robotaxis.

NVIDIA, ZF and Baidu Launch Industry’s First AI Autonomous Vehicle Computer for China

CES—NVIDIA, ZF and Baidu today announced that they are creating a production-ready AI autonomous vehicle platform designed for China, the world’s largest automotive market.

At the opening press conference of CES 2018, NVIDIA founder and CEO Jensen Huang said that the collaboration is based on the new NVIDIA DRIVE Xavier™, ZF’s new ProAI car computer and Baidu’s Apollo Pilot, an autonomous driving product targeted for mass production.

The world’s most complex and advanced SoC, it is capable of performing 30 deep learning TOPS (trillions of operations per second), using only 30 watts of power.

ZF’s new Xavier-based ProAI will process inputs from multiple cameras, plus lidar and radar, paint a 360-degree view around the vehicle, locate it on an HD map, and find a safe path through traffic.

“NVIDIA’s AI supercomputing architecture is ideal for our autonomous driving applications, as it can process huge amounts of data from sensors in real time, and localize the vehicle on our high-definition digital maps,”

This solution is created not only for Chinese automakers, but any vehicle maker planning to do business in China, and can scale from super Level 2 automated driving capabilities to Level 5 fully autonomous robotaxis.

NVIDIA Captures Pole Position at CES Amid Flurry of Auto News

NVIDIA tonight jump-started CES 2018, quickly putting more road between it and the competition in the race to create safe solutions for autonomous driving.

At the center of these collaborations is the NVIDIA Xavier autonomous-machine processor — the most complex system on a chip ever created — which Huang said Xavier will be samples to select customers sometime in the first quarter, a little more than a year after it was first announced.

It begins with Xavier, which can do deep learning, computer vision and high performance computing at highly efficient levels,” said Huang, speaking to a packed house of press, partners and professionals from around the automotive and consumer electronics industries.

“It starts with, of course, building a brand new type of processor we call the DRIVE Xavier, an autonomous machine processor that is able to do deep learning, perception, has the ability to do parallel computing and also computer vision and high performance computing at very, very energy-efficient levels.” With more than 9 billion transistors, Xavier is the most complex system on a chip ever created, representing the work of more than 2,000 NVIDIA engineers over a four-year period, and an investment of $2 billion in research and development, he explained.

“And it has to make the right decision, running software the world has never known how to write.” Xavier arrives just as players across the global auto industry are preparing to launch a wave of next-gen vehicles with unprecedented capabilities.

“Now, together with ZF, we have created the first AI autonomous vehicle computing platform for China.” And closer to home, the company is partnering with automotive startup Aurora — led by a team of high-profile autonomous driving pioneers — to bring up a new modular and scalable DRIVE Xavier platform for autonomous vehicles.

“Our two world-class engineering teams share a common understanding of the power of AI and the enormous processing required to enable advanced self-driving cars and mobility-as-a-service solutions.” These partners will be able to dip into our increasingly powerful NVIDIA DRIVE software stack — now expanded to a trio of AI platforms covering every aspect of the experience inside next-generation automobiles.

This is one of the largest industries in the world, the moving of people, the moving of goods, including cars, taxis, mobile and mobility as a service and trucking.” In short, Huang has a simple message for the auto industry and gamers alike — game on.

NVIDIA AI Car Demonstration

In contrast to the usual approach to operating self-driving cars, we did not program any explicit object detection, mapping, path planning or control components into this car. Instead, the...

Nvidia Self driving car PX Technology

Tech #cars #future Link : #Nvidia and #Bosch team up to build an AI supercomputer for your #self-driving car..

NVIDIA’s driverless car computers just got a nervous system

Driverless cars are not only going to shake road systems, but also automotive architecture, with NVIDIA and Aquantia announcing a new high-speed connectivity system designed for driverless...

NVIDIA at CES 2018 EVENT IN 9 MINUTES | TECHNOWARPRO | NVIDIA CES 2018 LIVE SUPERCUTS

NVIDIA at CES 2018 EVENT IN 9 MINUTES | TECHNOWARPRO | NVIDIA CES 2018 LIVE CES 2018 Live: NVIDIA CEO Jensen Huang Press Event Our press event is over, but CES has just begun. Here's a...

Breaking News - NVIDIA unveils platform for fully autonomous cars

Silicon Valley graphics chipmaker NVIDIA unveiled on Tuesday the first computer chips for developing fully autonomous vehicles and said it had more than 25 customers working to build a new...

GTC Japan 2017 Part 12: NVIDIA DRIVE

NVIDIA founder and CEO Jensen Huang describes NVIDIA DRIVE, an autonomous computing platform that enables automakers and Tier-1 suppliers to accelerate production of automated and autonomous...

NVIDIA unveils next-generation platform for fully autonomous cars

Silicon Valley graphics chipmaker NVIDIA unveiled on Tuesday the first computer chips for developing fully autonomous vehicles and said it had more than 25 customers working to build a new...

Nvidia Working On Self Driving Ubers, AR Driving and More

Nvidia Working On Self-Driving Ubers, AR Driving and More. LAS VEGAS – We haven't quite reached the age of self-driving cars being the norm, but Nvidia just might have figured out a way...

At CES 2018, Nvidia launches Xavier, an effort to meld autonomous driving and AI

At CES 2018, Nvidia launches Xavier, an effort to meld autonomous driving and AI. The Nvidia Drive Xavier SoC. LAS VEGAS -- Graphics chip giant Nvidia on Sunday unveiled the next generation...

NVIDIA unveils next-generation platform for fully autonomous cars

NVIDIA unveils next-generation platform for fully autonomous cars,LONDON (Reuters) - Silicon Valley graphics chipmaker NVIDIA unveiled on Tuesday the first computer chips for developing fully...