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to spend time with physicists, the reason being that they think about the universe, 1.e. everything. And no physicist was reputed to be articulate as Feynman. I couldn’t wait to meet him. I accepted. That said, I am not a scientist, and I had never entertained the idea of getting on a stage and delivering
nces are intimately bound up in the idea of an impending technological singularity. His work on neuroscience and his initial support of McCulloch and Pitts adumbrated the startlingly effective deep-learning methods of the present day. Over the past decade, and particularly in the last five years, such de
ard Feynman, at which the celebrated physicist remarked, “That is positively the dopiest idea I ever heard.” Maybe “despite” is the wrong word, since Feynman had a well-known predilection for playing with dopey ideas. In the event, he showed up on the day the company was incorporated and stayed on, for sum
ow it an abstract painting and see what it says. But it does a pretty good job. It works using the same neural-network technology that McCulloch and Pitts imagined in 1943 and lots of us worked on in the early eighties. Back in the 1980s, people successfully did OCR—optical character recognition. They t
to spend time with physicists, the reason being that they think about the universe, 1.e. everything. And no physicist was reputed to be articulate as Feynman. I couldn’t wait to meet him. I accepted. That said, I am not a scientist, and I had never entertained the idea of getting on a stage and delivering
nces are intimately bound up in the idea of an impending technological singularity. His work on neuroscience and his initial support of McCulloch and Pitts adumbrated the startlingly effective deep-learning methods of the present day. Over the past decade, and particularly in the last five years, such de
ard Feynman, at which the celebrated physicist remarked, “That is positively the dopiest idea I ever heard.” Maybe “despite” is the wrong word, since Feynman had a well-known predilection for playing with dopey ideas. In the event, he showed up on the day the company was incorporated and stayed on, for sum
ow it an abstract painting and see what it says. But it does a pretty good job. It works using the same neural-network technology that McCulloch and Pitts imagined in 1943 and lots of us worked on in the early eighties. Back in the 1980s, people successfully did OCR—optical character recognition. They t
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