In Knowledge@Wharton:
Why AI Is Tipping the Scales in the Development of Self-driving Cars
When people think of self-driving cars, the image that usually comes to mind is a fully autonomous vehicle with no human drivers involved. The reality is more complicated: Not only are there different levels of automation for vehicles — cruise control is an early form — but artificial intelligence is also working inside the car to make a ride safer for the driver and passengers. AI even powers a technology that lets a car understand what the driver wants to do in a noisy environment: by reading lips.
In Silicon Valley, there is a race to develop the best technology for autonomous vehicles. “It’s perhaps among the most exciting times to be talking about autonomous vehicles,” said Wharton professor of operations, information and decisions Kartik Hosanagar on a panel at the recent AI Frontiers conference in Silicon Valley. “Ten years back, most of the work with autonomous vehicles was just going on in research labs and various educational institutions.” About five years ago, only Google and a handful of companies were testing them. “Today, there’s a frenzy of activity,” he said. “Just in California, the number of companies that have licenses to do testing and operating of driverless vehicles is already somewhere in the 30 to 50 range.”.... '
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