It's All Corner Cases: Teaching Computers to Drive Safely

It could be argued there is only one proven Big Data application -- web search. Nothing so far has met the sheer size and complexity of indexing the web at the precision, recall, and freshness Google delivers. In its quest to structure the web well beyond text documents, around 2011 Google realized it had to fundamentally change the way it was indexing images. Google's DistBelief system -- the inception of the newly formed Google Brain team -- pushed the boundaries of how deep learning could be applied to massive problems by training on a highly distributed configuration of thousands of CPUs. The publication of this system marked a key milestone for Google and the tech industry at-large. By applying the deep learning techniques Geoff Hinton and Yann LeCun had been researching for over a decade, Google was finally able to create a production system that could scale to understand and structure information from images.