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Deep Learning is Getting in the Driver’s Seat

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drivby Angela Guess

Jon Worrel reports in Fudzilla, “At Nvidia’s CES 2016 keynote in Las Vegas, company co-founder and CEO Jen-Hsun Huang took the audience by surprise to demonstrate a breakthrough in automotive supercomputing that is positioned to change the way drivers both control and interact with their physical driving environments and their vehicles. Jen-Hsun introduced a new delivery model called ‘Personal Mobility as a Service’ (PMaS) that envisions an automotive platform where cars can leverage the power of a personal supercomputer to increase road safety, increase driving efficiency, and hopefully prevent and lower the daily number of collision statistics with other drivers… Jen-Hsun Huang says that Deep Learning through deep neural networks is the answer to the perception problem in complex uncertainties.”

Worrel continues, “Complex navigation data sets that require trillions and trillions of operations to train typically take months to calculate. Now, using Deep Learning with backpropagation and stochastic gradient descent, those same data sets can be crunched in just days. Deep-learning software basically mimics the activity in layers of neurons in the human brain’s frontal neocortex (frontal and parietal lobes), the wrinkly 80 percent of the brain where thinking occurs. The software learns to recognize patterns in digital representations of sounds, images and other sensory patterns in the environment. Nvidia claims that Deep Learning is as large of a breakthrough as mobile computing and even the Internet itself. According to Jen-Hsun and MIT, the big breakthrough happened in 2013.”

Read more here.

photo credit: Flickr/ Hernan Pinera

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