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Deep-learning pioneers like Geoffrey Hinton, Yann LeCun, and Yoshua Bengio—the Enrico Fermis of AI—continue to push the boundaries of artificial
Kai-Fu Lee • AI Superpowers: China, Silicon Valley, and the New World Order
With all the challenges in ethics and computation, and the knowledge needed from fields like linguistics, psychology, anthropology, and neuroscience, and not just mathematics and computer science, it will take a village to raise to an AI.
Gary Marcus • Deep Learning Is Hitting a Wall
Deep learning, which is fundamentally a technique for recognizing patterns, is at its best when all we need are rough-ready results, where stakes are low and perfect results optional.
Gary Marcus • Deep Learning Is Hitting a Wall
AI will magnify the already great difference in knowledge between the people who are eager to learn and those who aren't.
It’s becoming increasingly clear that the vast majority of useful AI is not about creating an artificial human personality. It is about creating tools that are endowed with intelligence, and capable of performing far more complex tasks than before.
Every • Intelligent Tools
Today’s most powerful machine learning techniques, such as those employed by Google’s DeepMind, excel at recognizing similarities between explicit patterns, whether those patterns are made of words or pixels or sound waves.
David Auerbach • Bitwise: A Life in Code
Of the Chinese giants, Baidu went into deep-learning research earliest—even trying to acquire Geoffrey Hinton’s startup in 2013 before being outbid by Google—and scored a major coup in 2014 when it recruited Andrew Ng to head up its Silicon Valley AI Lab. Within a year, that hire was showing outstanding results. By 2015, Baidu’s AI algorithms had e
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