Intel and Ferrari, artificial intelligence to bring a better experience

In a keynote speech at the 2018 International Consumer Electronics Show (CES) in Las Vegas, Intel Chief Executive Officer Cogic announced today that Intel will work with Ferrari * North America for a three-year partnership to bring artificial intelligence to the Ferrari North American Series Challenge, one of the top three regional championships in the world and from this year, the event will feature Intel Artificial Intelligence - the Intel Xeon® Extensible Processor Platform and the Neon ™ Framework to enhance viewers' Experience, highlighting the great potential that artificial intelligence will change the future of motor racing.

Intel first announced its collaboration with Ferrari * North America at CES 2018, the first time that artificial intelligence has been used to improve driving and event viewing, one of Intel's many technical achievements at CES 2018 , These stunning technologies underscore Intel's results with data-driven innovations at the Intel booth at 100048 South Central Convention Center in Las Vegas, demonstrating how artificial intelligence can identify overtaking between vehicles on the track , Demonstrating the ability of artificial intelligence to recognize movements, automatically monitor and identify objects, and artificial intelligence to provide insights

Intel Artificial Intelligence technology provides greater insight into analytics, deeper insights into the data, and more exciting tournament experience by improving drivers' driving practices and fan-racing experience. Combine artificial intelligence with the unmanned aerial Combined with the aerial footage captured by the aircraft, the broadcaster can analyze events in real time, providing more insight into the audience and enhancing the fans' experience with the Ferrari North American Challenge.

Ferrari North American Series Challenge

Artificial Intelligence products such as the Intel® Xeon® Extensible Processor Platform enable reasoning and analysis of video data captured by drone applications by using object recognition models and tagging video capture that allow drivers to capture from drone The 'see' performance on the screen, along with various algorithms that calculate drivers' different driving directions, help the narrator tell a more vivid game, and machine learning improves the driver's understanding of driving behavior , To adjust to improve their game performance over time, these models can also be used to analyze telemetry data such as steering angle, throttle pressure, brake pressure and so on, to understand the driver's driving style and predict Driving performance on the track.

Artificial intelligence, the benefits of motor sports:

Analyzing driving data in real time: Up to now, people have begun to analyze various telemetry data after the game, but it is almost impossible for humans to analyze multiple vector data in real time. Artificial Intelligence can continually analyze the data stream and obtain unexpected insights to help The driver improves lap time in lap.

Enhance the perspective: Artificial intelligence can be based on the video surveillance of the object feedback data for different drivers, different laps to compare.For example, artificial intelligence can be compared to a driver in each corner turn when turning angle With a cornering, or comparing different drivers, you can analyze which corner is the fastest cornering.

Enhanced Analytical Capabilities: Human analysts are habitual animals - they repeatedly check against the same metrics, which is significantly limited by time, and AI can automatically identify and pinpoint subtle changes that human analysts have not noticed.

In addition to working with the Ferrari North American Challenge, Intel has also posted several heavyweights at CES, such as Intel's autopilot platform, virtual reality (VR) and other forms of immersive media, demonstrating its commitment to data-driven innovation And strength.

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