Daniel Shapiro is originally from Southern California, but has long lived and worked in the northern part of that state - the Bay Area and Silicon Valley - and says even in his current position at NVIDIA, a company with tens of thousands of employees, he feels almost like he’s working at a startup, surrounded by entrepreneurial spirit and new ideas all the time. Daniel’s background includes a BS in electrical engineering and computer science from Princeton University and an MBA from UC Berkeley.
On this episode, Daniel speaks with Derek D about the trending concept of “software-defined vehicles” and NVIDIA’s forward-thinking approach to the future of driving, why long-haul trucking and last-mile delivery alike are great applications for autonomous vehicles, and why the current changes in the automotive industry are directly analogous to the smartphone revolution. Plus, he discusses the need to update old methods of machine learning for real-life road conditions, the staggering processing power advances that will be made in cars’ onboard computer systems, and more.
“Whether we’re actually replacing the driver, like in a robotaxi, or improving driver safety… there’s a massive amount of processing that needs to take place.”
— Daniel Shapiro
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