The drive towards autonomous vehicles will encounter many challenges and several of them will revolve around data. The scale of the task of creating a car which can drive more reliably than a human cannot be underestimated. In just one day, a test autonomous vehicle produces as much data as the Hubble telescope produces in a whole year. Many companies involved in the development of self-driving cars have turned to deep learning techniques to reach their goals, which means analyzing vast amounts of data from many vehicles. Moreover, this data must be stored and managed effectively in order to train the neural networks which will eventually control autonomous vehicles.
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