Abstract: The sigmoid function is a representative activation function in shallow neural networks. Its hardware realization is challenging due to the complex exponential and reciprocal operations.
Abstract: The calculation of a low-rank approximation to a matrix is fundamental to many algorithms in computer vision and other fields. One of the primary tools used for calculating such low-rank ...
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Ramanujan’s 100-year-old pi formula is still unlocking secrets of the universe
Uncover the surprising connection between Ramanujan's pi formulas and the universe. Learn how his century-old math helps ...
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