The Morning News https://ift.tt/2Kb3nCs
Researchers in China are thinking about autonomous transportation in terms of a tricked-out bicycle—one that gets around with help "from what is called a neuromorphic chip, modeled after the human brain."
In the video, the bicycle is not learning; it is merely executing software that had been trained to handle specific tasks, including recognizing spoken words and avoiding obstacles. But it is executing the software in an efficient way, which is important to vehicles that run on battery power. Researchers believe they can eventually merge the training process and the in-the-moment execution, so that a bicycle could learn as it goes, from just a few moments of experience.
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