Intel announced that it has adopted Road Experience Management technology for approximately 2 million vehicles

Intel showcased several key initiatives at CES 2018, including conceptual technology partnerships with major automakers like BMW, Nissan, and Volkswagen. Intel CEO Brian Krzanich announced that over 2 million vehicles from these partners have already adopted Mobileye’s Road Experience Management (REM) technology, which leverages crowdsourced data to create scalable, high-resolution maps. These maps can be updated quickly and at a low cost, making them more efficient for autonomous driving systems. In addition, Intel partnered with SAIC and NavInfo to develop detailed map data for the Chinese market. SAIC will use Mobileye’s technology to build Level 3 to Level 5 self-driving vehicles. Krzanich also introduced Intel’s new autonomous driving platform, which integrates the Atom C3xx4 processor with the Mobileye Eye Q5 chip, enhancing performance and safety in advanced driver-assistance systems. Mobileye had already deployed 9 million ADAS chips in 2017, and its REM system was capable of capturing real-time images and contextual data from vehicle-mounted cameras. This data is used to update high-resolution maps instantly, supporting safer and more accurate navigation. Krzanich also highlighted Intel’s involvement in the Ferrari Challenge North America Series, where Intel’s Chip Replay Challenge technology will be used to transcode, identify objects, and deliver live streaming content to online audiences in 2018. To enhance entertainment experiences, Intel established Intel Studios in collaboration with Paramount Pictures. The studio will explore how next-generation audiences engage with visual storytelling through virtual reality (VR) and other immersive technologies. Intel also planned to showcase its innovations at the PyeongChang Winter Olympics in 2018, using True VR technology to capture 30 events and deliver both live and on-demand content, marking the first-ever real-time VR broadcast. Intel’s Loihi neural network computing chip is now fully operational and will be shared with research partners to advance AI development. Additionally, Intel is working on a quantum computing system and has sent a 49-qubit Tangle Lake chip to QuTech for research. Krzanich believes this could one day surpass all current computing speeds, opening up new frontiers in processing power and efficiency.

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