Yann LeCun has been a believer in the power of neural networks since long before they were fashionable. In the late 1980s, along with colleagues at Bell Labs, he designed the first neural network that could recognize handwritten numbers at a high level of accuracy. It was an early example of a convolutional neural network, a machine learning algorithm that would allow image-, speech- and video-recognition AIs to become far more accurate in the years and decades that followed. [time-brightcove not-tgx=”true”] The Association for Computing Machinery awarded LeCun—along with his contemporaries Geoffrey Hinton and Yoshua Bengio, together known as the “Godfathers of AI”—a Turing A
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