Software engineer Quoc Le grew up in rural Vietnam, in a small village that had no electricity till he was nine. But that didn’t stop him eventually becoming a PhD candidate at Stanford in 2007, working out a strategy that would let software learn things by itself. Academics had begun to report promising but very slow results with a method known as deep learning, which uses networks of simulated neurons. Le found a way to speed that method up significantly—by building simulated neural networks 100 times larger that could process thousands of times more data. It was an approach practical…
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