IEEE

Step Size Adaptation for Accelerated Stochastic Momentum Algorithm Using SDE Modeling and Lyapunov Drift Minimization

Abstract: Training machine learning models often involves solving high-dimensional stochastic optimization problems, where stochastic gradient-based algorithms are hindered by slow convergence.
Science Daily

This simple fix makes blockchain almost twice as fast

Blockchain could make smart devices far more secure, but sluggish data sharing has held it back. Researchers found that messy network connections cause massive slowdowns by flooding systems with ...
XCOM 2 Game Guide

Let’s solve “Cooking method using wet and dry heats” in Cookie Jam

“Cooking method using wet and dry heats” is a confusing question in Cookie Ham if you are not knowledgeable in cooking. Let’s solve “Cooking method using wet and dry heats” in Cookie Jam Source: ...
IEEE

Gradient Descent Algorithm based on Extended State Observer for Loss Minimization of Ultralocal Model Predictive Controlled PMSM Drives

Abstract: Hybrid loss minimization algorithms in electrical drives combine the benefits of search-based and model-based approaches to deliver fast and robust dynamic responses. This article presents a ...