Cisco (NASDAQ: CSCO) posted strong quarterly results on May 13, reporting a 12% year-over-year increase in revenue that is currently pushing the stock up nearly 20% in pre-market trading. At the same ...

XRP price prediction 2026 is starting to look more optimistic as regulatory progress, whale accumulation, and improving technical signals converge to boost trader sentiment. Most notably, the market ...

Abstract: Machine learning is mostly carried out by digital computers, using central processing units (CPUs) and graphic processing units (GPUs). In order to increase the speed in machine learning, ...

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 ...

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 ...

As modern computing becomes limited by energy consumption, there is growing interest in physical computing paradigms that can operate closer to fundamental thermodynamic limits. Thermodynamic ...

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 ...