"Each of these achievements would have been a remarkable breakthrough on its own. Solving them all with a single technique is like discovering a master key that unlocks every door at once. Why now? Three pieces converged: algorithms, computing power, and massive amounts of data. We can even put faces to them, because behind each element is a person who took a gamble."
"Academic Geoffrey Hinton kept working on neural networks long after his colleagues had abandoned them. Jensen Huang, Nvidia's CEO, kept improving parallelprocessing chips far beyond what video games the core of his business actually needed. And researcher FeiFei Li risked her career to build ImageNet, an image collection that seemed absurdly large at the time. But these three pieces aligned."
Artificial intelligence began in the 1950s with pioneers aiming to make computers think. After seventy years, neural networks now solve cognitive tasks once exclusive to living beings, and this progress occurred suddenly. Modern machine learning models handle language, hold fluent encyclopedic knowledge, write code at superhuman levels, and perform image description, transcription, and translation at human levels. Other models generate realistic images, predict hurricanes, win at Go, and drive cars. Deep learning produced a technological revolution by solving many major problems with a single technique. Breakthroughs required algorithms, computing power, and massive datasets, enabled by key individuals and by AlexNet in 2012.
Read at english.elpais.com
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