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Nvidia, Baidu partner to develop AI powered autonomous vehicle platform ZDNet

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Nvidia CEO Jen-Hsun Huang said the partnership illustrates the commitment both companies have made to advancing the use-cases of AI. Nvidia and Chinese search engine giant Baidu are teaming up to develop a cloud-based platform for use in artificially intelligent, self-driving cars. The partnership combines Nvidia's self-driving computing platform with Baidu's cloud and mapping technology to develop an algorithm-based operating system capable of powering complex navigation systems in autonomous vehicles. The open platform will be available for branded car OEM consumer vehicle offerings, as well as fleets of driverless commercial vehicles. The companies are going after Level 3 autonomous vehicle control, which means the car can drive itself (and park itself) in some circumstances, but with a competent human driver at the ready.


Baidu and Nvidia to Build Artificial Intelligence Platform for Self-Driving Cars

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Chinese search engine Baidu and chipmaker Nvidia announced a partnership Thursday that will focus on using artificial intelligence to develop a computing platform for self-driving cars. The platform will include cloud-based high-definition maps. The announcement, made by Nvidia CEO Jen-Hsun Huang at the Baidu World Conference, will bring together two companies that see vast potential in artificial intelligence. It also comes on the heels of Baidu receiving approval from the California Department of Motor Vehicle to test autonomous vehicles on public roads in the state. Baidu bidu is the 15th company to receive a permit to test autonomous vehicles in California.


Nvidia, Baidu Team on Cloud-to-Car AI Platform Transportation

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Nvidia and Baidu have agreed to collaborate on the incorporation of artificial intelligence in a cloud-to-car autonomous vehicle platform, Nvidia CEO Jen-Hsun Huang said Wednesday at the Baidu World Conference in Beijing. The companies plan to integrate Baidu's cloud platform and mapping technology with Nvidia's self-driving computing platform. They will work together to create solutions for high-definition maps, Level 3 autonomous vehicle control and automated parking. "We're going to bring together the technical capabilities and the expertise in AI and the scale of two world-class AI companies to build the self-driving car architecture from end-to-end, from top-to-bottom, from the cloud to the car," Jen-Hsun said. "We can start applying these capabilities to solve the grand challenges of AI, one of which is intelligent machines," he added.


NVIDIA and Baidu are building an AI platform for autonomous cars

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NVIDIA CEO Jen-Hsun Huang made the announcement today during the Baidu World Conference, noting that the companies will unit to merge their individual technical capabilities to crate a new self-driving car architecture from scratch: "end-to-end, top-to-bottom, from the cloud to the car," as Huang explained. Baidu will use the platform created in tandem with NVIDIA to roll out self-driving taxis in China. Though that's the primary purpose for the partnership, the software's applications are numerous, as both Baidu and NVIDIA are working to make it open for other automotive creators to fit with their own plans for self-driving vehicles. NVIDIA already has its own ideas for autonomous cars, with the Drive PX supercomputer for processing data that's inbound from various sensors, a cloud-based 3D map, and an AI operating system. It's called Drive PX 2, and Volvo is already testing it with a set of self-driving vehicles.


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NVIDIA Corp announced the debut of a smaller and more efficient artificial intelligence (AI) system for self-driving cars that would operate Baidu's navigation and autonomous vehicle technology. According to a Reuters report, Nvidia debuted its new Drive PX 2 at the GPU Technology Conference in Beijing. Chinese web giant Baidu will roll out the in-vehicle computer as its autonomous driving computer system. Nvidia's latest Drive PX 2 computer, which launched in January, uses 10 watts of power and is half the size of the original version.