![]() Pratt also is looking to apply some lessons learned from the DARPA Robotics Challenge, an annual contest to advance the state of robots, which he ran last year. ![]() He views neuromorphic chips such as IBM’s TrueNorth brain-inspired chip as one way to vastly reduce the amount of power needed to do the massive computing tasks needed for cars of the future. “A car can’t afford a supercomputer of 2017,” Moorhead said.Įven before those computers, one of them announced earlier this week by conference sponsor Nvidia, go commercial in a big way, automakers such as Toyota are already bringing a number of data-intensive technologies to bear on making cars safer, easier and less environmentally damaging to drive.įor one, Pratt is looking to leverage work he headed when he was a program manager at the Defense Advanced Research Projects Agency, where he worked on robotics and neuromorphic computing. And that currently requires space, serious fans and water cooling that automakers aren’t yet ready to include in any but the most expensive cars. “They realize the amount of data and processing that’s required to pull this off.”īut he said that cars literally will have to have a supercomputer inside to pull off what they're trying to do. “For the first time, the car companies seem to know what they’re getting into,” Patrick Moorhead, president and principal analyst at market researcher Moor Insights & Strategy, said after Pratt’s keynote. The amount of computer power and data analysis needed to make the cars work looks to be staggering. ![]() It also meshes with an increasing number of artificial intelligence researchers at IBM, Amazon and other companies who believe AI will do best in conjunction with human intelligence rather than trying to completely recreate human cognition.Įither way, developing these cars will require automakers to morph from hardware manufacturers into enterprise technology companies. But the philosophy also may hold more appeal both to drivers and government regulators in the short term. Toyota’s emphasis on helping drivers rather than usurping them sets it well apart from companies such as Google and Baidu that are working on fully autonomous cars. ![]()
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