Abstract: Optimization algorithms play an important role in the training of machine learning models. Gradient-based optimizers such as Adam, RMSprop, and Stochastic Gradient Descent (SGD) are widely ...

XRP has climbed 2.5% over the past 24 hours to trade at $1.44 at the time of writing, largely tracking a broader rebound across the cryptocurrency market led by Bitcoin (BTC). Looking ahead toward the ...

XRP has lost some steam over the past twenty-four hours as the Senate delayed a key crypto market structure bill on January 15. At the same time, daily trading volume slipped 30% as the broader market ...

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and code made simple. Who was Saleh Mohammadi? Iran teen wrestling champion ...

ABSTRACT: Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is ...

National home value growth slows, with prices falling in nine of 20 major metro areas. U.S. home prices rose just 1.5% in August from a year earlier — the weakest pace since 2023. Homeowners lose ...

Abstract: Nonconvex finite-sum optimization finds wide applications in various signal processing and machine learning tasks. The well-known stochastic gradient algorithms generate unbiased stochastic ...

This repository explores the concept of Orthogonal Gradient Descent (OGD) as a method to mitigate catastrophic forgetting in deep neural networks during continual learning scenarios. Catastrophic ...

ABSTRACT: This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...