Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind ...

Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, ...

Abstract: The rapid advancement of quantum computing is poised to disrupt the foundations of classical cryptography, calling into question the long-term security of widely used algorithms. Classical ...

Abstract: The Traveling Salesman Problem (TSP) is a widely studied NP-complete optimization challenge with significant theoretical and practical implications. This study proposes a hybrid ...

This is a Python package containing Pytorch implementations of differentiable variants of classical fundamental frequency estimators (dYIN and dSWIPE). This code accompanies the following paper: To ...

Performances in N.Y.C. Advertisement Supported by A holiday album that cuts through seasonal glut, a late collaboration by Jim McNeely and Helmut Lachenmann’s string quartets are among the highlights.

Instagram is introducing a new tool that lets you see and control your algorithm, starting with Reels, the company announced on Wednesday. The new tool, called “Your Algorithm,” lets you view the ...

Porcupy implements the Crested Porcupine Optimizer (CPO), a nature-inspired metaheuristic that mimics porcupine defense mechanisms for optimization. It offers both object-oriented and procedural ...

Thinking outside the canon, and finding the gritty and the beautiful, within it. By Joshua Barone and Corinna da Fonseca-Wollheim JOSHUA BARONE Few art forms are as burdened by canons as classical ...