One of the best ways to send cars to Drivers Ed is by using artificial intelligence.
And as cars become more autonomous, it turns out that they need a lot of training.
“Show it images, and it can learn what pedestrians look like.
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Each exaflop is equal to 1 quintillion floating-point operations per second.
“This is a really incredible supercomputer,” Karpathy said,according to a news release.
“I actually believe that in terms of flops, this is roughly the No.
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5 supercomputer in the world.”
A deep neural internet observes and makes predictions while the car is driving without actually controlling the vehicle.
The predictions are recorded, and any mistakes or misidentifications are logged.
The neural connection is then run through these scenarios repeatedly until it operates without a mistake.
Finally, its sent back to the vehicle and begins the process again.
“With AI and machine learning, the process is much faster and more efficient,” Pathak said.
The company uses machine learning to help its robots get around.
Using artificial intelligence to train cars can boost safety, observers say.
