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Why not use self-driving cars as a supercomputer?

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Like devotees of Dogecoin, du Mayor of Reno, and leaders Savior, Aldo Baoicchi is confident that cryptocurrency is the future. Dayma, the CEO and founder of the Canadian scooter manufacturer, believes so much that when he introduced the company’s first autonomous car last month, 2023 Spiritus proposed a bonus feature: mine capability cryptocurrency when the car is parked. Baiocchi told WIRED that the company continues to develop software for this, but the designers want the cryptocurrency to be as easy as car owners pressing the button. He says solar energy on the roof of a three-wheeled electric car should help offset the energy consumption of mining Bitcoin.

“We have the equipment in the car. I think it’s mine for me and we make money, ”he said.

Car buyers take into account factors such as safety, fuel economy and resale value. But some businesses have started talking about computing power autonomous vehicles as a point of sale.

Rand Corporation calculations that autonomous road vehicles can save hundreds of thousands of lives and change the world, but they can also change the world by parking in the garage. The computing power of autonomous cars could be used to deal with problems that are as personal as editing a high-resolution video, or as global as decoding a new virus.

This is done by autonomous vehicles that include dozens of cameras, sensors and software systems that prevent pedestrians, cyclists and other vehicles from navigating together. To do this, the vehicles are equipped with computing power: Nvidia, which makes chips used in autonomous vehicles, says a car driver could have the equivalent power of 200 laptops in his trunk. This has led some people to refer to autonomous vehicles as data centers or supercomputers on wheels.

Keith Strier, VP of Nvidia’s global AI initiatives, predicts the worlds that govern fleets of autonomous vehicles that are wasted at night to meet the needs of less expensive nations. supercomputers. He is also the same Chairman of an OECD working group which helps to calculate the number of calculations that countries need. He said the group plans to release a document this year to warn of the role that autonomous vehicles can play in providing these IT resources.

Strier says turning millions of cars into supercomputers would be more aggressive and weaker than an attack on a large supercomputer, a view that is being made today. In the past, supercomputers were mostly focused on academic research and government projects like weather forecasts, but powerful computers play in areas like economics and innovation and are increasingly tied to a nation’s national security and prosperity.

“The idea has tremendous potential because we’re looking at not thousands, but tens of millions of supercomputers in these cars,” he says. “There may not be so many agreements in the United States or Germany, but in a smaller country, as autonomous trucks and cars get on the road, the ability to calculate in that country changes completely.”

Technical challenges remain, but the idea is gaining momentum among companies that sell hardware to car manufacturers. Qualcomm currently works with more than 20 automakers to defend technology that allows cars to communicate with each other 5G. Nvidia is also increasing its presence in cars: by 2024, Mercedes will begin manufacturing vehicles within the Nvidia GPU.

Dayma, a Canadian vehicle and scooter manufacturer, is the latest company to sell cars based on mileage or hoodie. Ford markets the F-150 electric pickup truck feed your house during the day.

Not everyone thinks it makes sense to aim beyond driving a car. Shaoshan is the founder of Liu Perceptin, a company based on autonomous driving and computer vision with US and Chinese offices. He calls the computer downloaded from autonomous vehicles, among other things, a wild and impractical idea that raises questions about energy consumption and network bandwidth costs.

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