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Why driverless cars will be safer than human drivers

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Ford, GM, Tesla, Lyft, Google, and more all have plans to have some form of autonomous car ready for commercial use within the next five years. In fact, it's estimated that by 2030 driverless cars could make up as much as 60% of US auto sales, according to Goldman Sachs. While companies all have their own reasons for investing in this technology, they all agree that one of the biggest benefits of autonomous cars will be improved safety. How, might you ask, is a car with no human driver, no steering wheel, and no brake pedal safer than the cars we currently drive? Well, it all comes down to the tech used to enable autonomous vehicles.


If You Love Self-Driving Cars, You Should Check Out NXP and NVIDIA -- The Motley Fool

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Let's skip to the chase: Self-driving cars are going to be The Next Big Thing (tm). Here's how you can make big money from this revolution, no matter which carmaker or technology platform comes out on top. Since Alphabet started leading this futuristic idea out into the mainstream, the car industry itself has turned in that direction. Name a carmaker, and I bet the company has developed at least the embryo of a self-driving platform. You can already find traces of this upcoming revolution inside current cars, powering automatic parallel-parking systems or highway-speed autopilots.


Machine-Learning Ironing Robot Gets Wrinkles Out NVIDIA Blog

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But one day you could hand the laundry over to a machine learning-powered ironing robot, developed by researchers at Columbia University, that can iron shirts, skirts and more. To solve the problem, the Columbia researchers spent three years building an autonomous ironing pipeline that uses GPU-accelerated machine learning to teach robots each step along the way -- how to pick up a garment, recognize it, lay it out to iron and then fold it. When the ironing robot goes to work on real clothing -- a shirt, for example -- it picks up the item at a random point and rotates it 360 degrees to expose it to a Microsoft Xbox Kinect sensor. Once robots can master handling flexible objects, they could do industrial jobs that involve ropes or cable harnesses, or they could be useful in food production, according to Peter Allen, a professor of computer science at Columbia and co-author on the paper.