George Cybenko is an American mathematician and computer scientist known for his contributions to fields such as neural networks, control systems, and computational mathematics. He is particularly recognized for his work on the theory of neural networks and the development of the Cybenko theorem, which establishes conditions under which neural networks can approximate any continuous function. Cybenko has had a significant academic career, holding positions at various institutions, including being a professor at Dartmouth College.
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