Fibonacci numbers and binomial coefficients were frequently used as examples of branched recursive functions. However, their exponential time complexity was rarely claimed and never completely proved ...

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...

Abstract: The quantum algorithm by Harrow, Hassidim, and Lloyd solves a system of N linear equations and achieves exponential speedup over classical algorithms under certain conditions. The advantage ...