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Nvidia (NVDA) is known for providing AI capabilities to businesses around the world through its high-performance graphics processors. However, the company is highlighting at his CES 2024 how it is utilizing the same features to enhance its automotive ambitions.
Part of that includes building autonomous driving and advanced driver safety, as well as using generative AI to better understand vehicles and interpret what’s happening around them. Masu.
“All the cameras, radars and lidar in your car generate a lot of data. [light detection and ranging] In this vehicle, you have to do it in real time,” Danny Shapiro, Nvidia’s vice president of automotive, told Yahoo Finance while sitting in the front of Mercedes’ CLA concept car at CES 2024.
“That’s where Nvidia comes in, taking all that data and making sense of it so you can understand exactly where the lanes are, where the potential hazards are, read the signs, check the traffic lights. “We’re bringing it in now to make these vehicles safer and provide them as an assistive feature.” Shapiro added.
Software updateable vehicles will also allow automakers to add additional assistance features over time in hopes that future vehicles will eventually achieve full self-driving, Nvidia said. I am.
But it will be a while before we can lie back in the driver’s seat and watch a movie or take a nap while we drive back and forth. Shapiro said the industry initially underestimated the complexity needed to get self-driving cars on the road.
That’s also where Nvidia says its technology can be useful. Nvidia says its Omniverse platform can teach self-driving AI how to deal with different weather and driving situations by building a digital twin that is a one-to-one digital recreation of a vehicle and a city.
Nvidia believes that by training AI in the digital world and throwing everything imaginable at it, it can accelerate the development of self-driving cars without risking accidents in the real world.
Generative AI, the standout technology of 2023, is also part of Nvidia’s automotive efforts. According to Shapiro, Gen AI helps provide drivers with a complete overview of their vehicle and why it behaves a certain way.
“Mercedes can use all the information about the history of a Mercedes car, whether it’s a CLA concept, a manual, a service bank, whatever it is, to train this large language model, so when you interact with that car, “It returns a result like this: That’s the correct answer,” he said.
“Imagine you have a self-driving vehicle and its front-facing camera captures video at 30 frames per second. You then use a large-scale language model to map the pixels in the video to what is happening in the scene. It can be translated into a description,” Shapiro explained.
Nvidia’s automotive business still accounts for a relatively small portion of the company’s total revenue. During Nvidia’s fiscal third quarter, the division generated $261 million in revenue. This compares to $2.86 billion generated by the company’s gaming division and $14.51 billion generated by its data center business.
The company currently offers a variety of vehicle technologies, including infotainment features, but ultimately expects its business to grow further as self-driving technology matures over time. For now, though, Nvidia’s advanced driver assistance features continue to improve.
Now if only I could find a way to put something like that into an old Mustang.
Daniel Howley I’m the technology editor at Yahoo Finance. He has been covering the technology industry since his 2011. You can follow him on Twitter. @Daniel Howley.
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