Why not use self-driving vehicles as supercomputers?

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Like Dogecoin fans, the mayor of Reno, and leaders Savior, Aldo Baoicchi is convinced that cryptocurrency is the future. The CEO and founder of Canadian scooter manufacturer Daymak believes in this so strongly that when he introduced the company’s first autonomous car, the Spiritus 2023, last month, he introduced a bonus feature: the ability to blow up cryptocurrency when the car is parked. Baiocchi told WIRED that the company is still developing software for the purpose, but the designers want cryptocurrency for car owners to be as simple as pressing a button. He says that solar energy on the roof of an electric car on three wheels should compensate for energy consumption in mining. Bitcoin.

“We have equipment in the car. We assume that we could both mine and earn some money for the driver, ”he said.

Car buyers are now considering factors such as safety, fuel economy and resale value. But some companies are starting to talk about packaged computing power autonomous vehicles as a point of sale.

Rand Corporation estimates that autonomous vehicles on the roads could save hundreds of thousands of lives and change the world, but the world could also change when parked in a garage. The computing power in autonomous cars could be used to solve personal problems such as editing high-definition video or global ones like decoding a new virus.

This is because autonomous vehicles are a collection of dozens of cameras, sensors and software systems that work together to navigate, avoiding pedestrians, cyclists and other vehicles. To do this, vehicles are equipped with computing power: Nvidia, which produces chips used in autonomous vehicles, says a self – driving car in the trunk can have a computing power equivalent to 200 laptops. This has led some people to call autonomous vehicles data centers or supercomputers on wheels.

Keith Strier, Nvidia’s vice president of global artificial intelligence initiatives, envisions a world in which government fleets of autonomous vehicles at rest will be used to meet the computational needs of countries that do not own expensive supercomputers. He is too chair of the OECD working group which helps countries calculate the amount of calculation they need. He says the group plans to release a document later this year that draws attention to the role autonomous vehicles could play in supplying those computing resources.

Strier says converting millions of cars into a supercomputer would be more durable and less vulnerable to attacks than one large supercomputer, the approach used today. In the past, supercomputers were mostly dedicated to academic and government research projects like weather forecasting, but powerful computers now play a role in areas such as economics and innovation and are increasingly linked to national national security and prosperity.

“The idea has huge potential because we are not looking at thousands, but tens of millions of supercomputers in these cars,” he says. “In the United States or Germany, it may not be such a big deal, but in a smaller country, as autonomous trucks and cars go out of the way, it completely shifts the computing potential in that country.”

Technical challenges remain, but the idea seems to be becoming increasingly popular among companies that sell hardware to carmakers. Qualcomm currently works with more than 20 car manufacturers, advocating technology that allows cars to communicate with each other 5G. Nvidia is also increasing its presence in cars: By 2024, Mercedes will begin producing vehicles with an Nvidia GPU in it.

Daymak, a Canadian car and scooter manufacturer, is just the latest company to sell cars based on more than mileage or what’s under the hood. Ford is marketing its F-150 electric pickup as best it can power your home for days.

Not everyone thinks that eavesdropping on a car’s computer for purposes outside of driving makes sense. Shaoshan Liu is the founder of Perceptin, a company that focuses on autonomous driving and computer vision with offices in the United States and China. He calls the computer for unloading autonomous vehicles a wild and impractical idea that, among other things, raises questions about energy consumption and network bandwidth costs.



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