NVIDIA Jetson AGX Xavier module targets next-gen autonomous machines

Release time:2019-01-03

Nvidia has announced the launch of the Jetson AGX Xavier module, the latest addition to the company’s Jetson TX2 and TX1 family of products.

According to the company, developers will be able to use the module to build autonomous machines – from delivery robots to manufacturing robots that collaborate with humans.

The Jetson AGX Xavier module can serve as the powerful brain behind any robot and deliver the performance of a workstation server in a computer that fits in the palm of a hand.

Consuming as little as 10 watts, the module will enable companies to go into volume production with applications developed on the Jetson AGX Xavier developer kit, bringing next-generation robots and other autonomous machines to market more quickly.

The module has been designed to leverage NVIDIA’s AI platform, which is used for numerous AI applications. This includes a complete set of tools and workflows to help developers quickly train and deploy neural networks.

It supports applications developed with the JetPack and DeepStream software development kits. JetPack is NVIDIA’s SDK for autonomous machines and includes support for AI, computer vision, multimedia and more.

The DeepStream SDK for Jetson AGX Xavier enables streaming analytics, bringing AI to IoT and smart city applications. Developers can build multi-camera and multi-sensor applications to detect and identify objects of interest, such as vehicles, pedestrians and cyclists.

These SDKs save developers and companies time and money, while making it easier to add new features and functionality to machines to improve performance.

With this combination of new hardware and software, it’s now possible to deploy AI-powered robots, drones, intelligent video analytics applications and other intelligent devices at scale.

The Jetson AGX Xavier module brings accelerated computing capability to the Jetson family, which includes solutions at different performance levels and prices to suit a variety of autonomous robotic applications.

The Jetson TX2 embedded module for edge AI applications now comes in three versions: Jetson TX2, Jetson TX2i and the newly available, lower cost Jetson TX2 4GB. Jetson TX1-based products can migrate to the more powerful Jetson TX2 4GB at the same price.

NVIDIA developer kits are also available for each member of the Jetson family. With these kits, companies can create and deploy multiple applications for a variety of use cases, using one unified software architecture.

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Artificial intelligence has the potential to transform many industries: Cars that drive themselves, facial recognition that enhances security, or systems that could detect cancer better than a doctor.In fact, global GDP is set to increase by 14 percent because of AI, according to PwC. The tech's deployment in the decade ahead will add $15.7 trillion to global GDP, with Chinapredicted to take $7 trillion and North America $3.7 trillion, according to the multinational company."Data is the new oil, so China is the new Saudi Arabia," Kai-Fu Lee, venture capitalist and author of "AI Superpowers: China, Silicon Valley, and the New World Order," told CNBC's "Squawk Box.""If you measure by research — basic research papers published, excellence of research — U.S. is and will be ahead for the next decade," he said. "But if you measure by value created, how much market capitalization, how many users, how much revenue, China probably is already ahead."Lee said AI could replace 40 to 50 percent of all jobs in the U.S. in the next 15 years.China's development planAI development reached a symbolic moment in May 2017 during a match of Go, considered to be the world's most complex game.Ke Jie, a Chinese player known as the world's best, competed against a program from Google parent company Alphabet in a three-game match. The young pro lost all three games.Less than two month after the defeat, China's central government announced its ambitious plans to build its AI capabilities, where it aims to create "a next generation artificial intelligence development plan."The plan is broken up into three benchmarks: Keep pace with AI technologies by 2020, achieve AI breakthroughs by 2025, and to actually be the world leader in AI by 2030.In 2017, Chinese venture capital investors poured record sums of money into AI — making up 48 percent of all AI venture funding globally.Chinese start-ups raised $4.9 billion in 2017 made up of just 19 investments, while their U.S. counterparts raised $4.4 billion from 155 investments.Some critics have said, however, that the sector is over-invested and they've expressed skepticism about the industry's ability to monetize.Data and regulationChina has several advantages when it comes to the artificial intelligence field, but chief among them is Chinese companies' access to troves of data."(China has) done a fantastic job of moving its economy to cashless and when you can pay with everything with your phone, you amass a huge amount of data," author and columnist Thomas Friedman told CNBC."When you can get these giant data sets, and then apply artificial intelligence to them," he said. "You're going to see better and better and more deep insight patterns than anyone else and I think it'll be a great advantage for China."On top of that, China doesn't have the same restrictive privacy laws as many other countries, making it easier for companies to collect data. Its government buys technologies to capture unprecedented amounts of information on its citizens.The talent raceStill, China is not yet the dominant force in the world of AI."The innovation is still coming from the U.S. and that's thanks to, obviously, a huge network of universities that are fed by the world's greatest talent — not just Chinese engineers coming to the U.S., and computer scientists, but also from India and everywhere else," Ben Harburg, managing partner at MSA Capital, told CNBC at the East Tech West conference last month. "That advantage, for the next few years at least, stays with the U.S."Still, Harburg noted China's large data sets, and the country's large number of graduates in STEM fields."China will be where you monetize and, by nature of the beast, eventually they will start to innovate far beyond the U.S. — but a couple years away," he added.Meanwhile, Friedman said the race in AI could potentially come down to politics. More specifically, U.S. President Donald Trump's stance on immigration."What really drove our economy forward, what drives any economy, is that we had a higher percentage than any other country of high-IQ risk takers ... people who start new companies, and new businesses, and create new medical and new engineering breakthroughs," he said. "Trump basically has put out a sign in our front yard that says, 'Get off my lawn.'
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