Abstract: The traditional fixed-step-size LMS (Least Mean Squares) algorithm has the problems of slow convergence speed and limited real-time performance in music signal denoising. This paper proposes ...

Master cryptographic agility for AI resource governance. Learn how to secure Model Context Protocol (MCP) with post-quantum ...

Abstract: While the filtered-x normalized least mean square (FxNLMS) algorithm is widely applied due to its simple structure and easy implementation for active noise control system, it faces two ...

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...

Build the AdamW optimizer from scratch in Python. Learn how it improves training stability and generalization in deep learning models. #AdamW #DeepLearning #PythonTutorial Trump orders release of ...