Unlike many of the efforts, however, will not attempt to build cars. Instead, it plans to retrofit commercial fleets for tasks like parcel delivery and taxi services. The company is leaning on a technology called deep learning, a machine-learning technique that has gained wide popularity among Silicon Valley firms. It is used for a variety of tasks, like understanding human speech and improving the ability to recognize objects in computer vision systems. An Israeli firm, Mobileye, is the dominant supplier of vision technology to the automotive industry, but Silicon Valley companies like Nvidia are also starting to compete for that business. The self-driving cars of the future will need to be transparent about what their intentions are, how they make decisions and what they see, said Ms. Reiley, who is a roboticist with a background in designing underwater robotics and medical systems. They will need to communicate clearly both with the world around them as well as with their passengers. the left brain in which a lot of discussion has taken place, what algorithms and what sensors, the logical side,” she said. lot of the discussion around self-driving cars has no human component, which is “A really weird because this is the first time a robotic system is going out in the world and interacting with people.” The Economist Personal transportation Uberworld The world’s most valuable startup is leading the race to transform the future of transport Sep 3rd 2016 | Uber.” Few companies something so popular that their name becomes a verb. But that is one “LET’S of the many achievements of Uber, a company founded in 2009 which is now the world’s most valuable startup, worth around $70 billion. Its app can summon a car in moments in more than 425 cities around the world, to the fury of taxi drivers everywhere. But Uber’s ambitions, and the expectations underpinning its valuation, extend much further: using self-driving vehicles, it wants to make ride-hailing so cheap and convenient that people forgo car ownership altogether. Not satisfied with shaking up the
Unlike many of the efforts, however, will not attempt to build cars. Instead, it plans to retrofit commercial fleets for tasks like parcel delivery and taxi services. The company is leaning on a technology called deep learning, a machine-learning technique that has gained wide popularity among Silicon Valley firms. It is used for a variety of tasks, like understanding human speech and improving the ability to recognize objects in computer vision systems. An Israeli firm, Mobileye, is the dominant supplier of vision technology to the automotive industry, but Silicon Valley companies like Nvidia are also starting to compete for that business. The self-driving cars of the future will need to be transparent about what their intentions are, how they make decisions and what they see, said Ms. Reiley, who is a roboticist with a background in designing underwater robotics and medical systems. They will need to communicate clearly both with the world around them as well as with their passengers. the left brain in which a lot of discussion has taken place, what algorithms and what sensors, the logical side,” she said. “A lot of the discussion around self-driving cars has no human component, which is really weird because this is the first time a robotic system is going out in the world and interacting with people.” The Economist Personal transportation Uberworld The world’s most valuable startup is leading the race to transform the future of transport Sep 3rd 2016 | “LET’S Uber.” Few companies something so popular that their name becomes a verb. But that is one of the many achievements of Uber, a company founded in 2009 which is now the world’s most valuable startup, worth around $70 billion. Its app can summon a car in moments in more than 425 cities around the world, to the fury of taxi drivers everywhere. But Uber’s ambitions, and the expectations underpinning its valuation, extend much further: using self-driving vehicles, it wants to make ride-hailing so cheap and convenient that people forgo car ownership altogether. Not satisfied with shaking up the
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