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     738  0 Kommentare NVIDIA Announces World’s First Functionally Safe AI Self-Driving Platform - Seite 2


    “The deep learning capabilities that NVIDIA provides combined with BlackBerry QNX’s safety- critical real-time operating system are exactly what automakers want and need,” said John Chen, executive chairman and CEO, BlackBerry. “Our partnership with NVIDIA will provide the automotive industry with a functionally safe AI self-driving platform that is secured to the highest standards.”

    “We are excited to team up with NVIDIA, the leader in automotive AI technologies, and to contribute our series-proven safety software framework MotionWise for autonomous systems in close partnership with our joint customers,” said Georg Kopetz, CEO of TTTech. “This strategic world-class partnership will jointly bring a complete solution fast to market, ready for the high safety and security requirements for Level 2 to Level 5 – fully fail-operational autonomous systems.”

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    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. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. More information at http://nvidianews.nvidia.com/.

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    Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, performance, goals and abilities of NVIDIA DRIVE and its functional safety architecture; NVIDIA’s investment to develop functional safety rigor into the NVIDIA DRIVE platform and its impact and benefit on the production of self-driving cars; and NVIDIA DRIVE’s architecture integrating technology from BlackBerry and TTTech to enable the development of self-driving vehicles and the benefits, impact and abilities of such integration are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; 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. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. 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.

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    Verfasst von Marketwired
    NVIDIA Announces World’s First Functionally Safe AI Self-Driving Platform - Seite 2 LAS VEGAS, Jan. 10, 2018 (GLOBE NEWSWIRE) -- CES -- NVIDIA today unveiled details of its functional safety architecture for NVIDIA DRIVE™, its AI autonomous vehicle platform, which uses redundant and diverse functions to enable vehicles to …

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