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New AI system makes autonomous vehicle navigation more humanlike


A paper delivered by MIT researchers at the International Conference on Robotics and Automation last month describes a novel approach to AI for driverless vehicles. Their new system will draw on the fact that human drivers tend to be quite adept at negotiating never-before-seen terrain from behind the wheel. A departure from most current self-driving tech, this fledgling model uses visual cues and easy-to-follow maps rather than rigorous computation of all the new roads in the area. Using a machine learning model called a convolutional neural network, the AI "observes" the way human drivers handle new environments as they travel about a fresh (albeit confined) area. It can then mimic what it learned from the human's responses to take a self-driving car along a brand new route, provided the trip shares certain similarities with the trial run. more

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