"In 2006, Hinton made a breakthrough. In quick succession, neural networks, rebranded as “deep learning,” began beating traditional AI in every critical task: recognizing speech, characterizing images, generating natural, readable sentences. Google, Facebook, Microsoft and nearly every other technology giant have embarked on a deep learning gold rush, competing for the world’s tiny clutch of experts. Deep learning startups, seeded by hundreds of millions in venture capital, are mushrooming.
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At tech giants and smaller startups, most deep learning applications revolve around three tasks: speech recognition, image recognition, and reading or generating natural written language."
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