Abstract: The parallel efficient global optimization (EGO) algorithm was developed to leverage the rapid advancements in high-performance computing. However, conventional parallel EGO algorithm based ...

In fluid dynamics, the wake behind a cylinder can exhibit complex vortex shedding, a phenomenon that becomes even more ...

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...

Foundational optimization algorithms are the core driving force behind deep learning, evolving from early stochastic gradient descent (SGD) to the widely adopted Adam family. However, as the scale of ...

Gradient-based optimization is a widely used approach in machine learning, deep learning, and artificial intelligence applications. It is a technique that helps find the optimal solution for a given ...

Abstract: In this article, we explore the use of gradient-based optimization algorithms for automated bias control in Mach–Zehnder modulators (MZMs). We present and demonstrate, experimentally, five ...

A new algorithm helps topology optimizers skip unnecessary iterations, making optimization and design faster, more stable and more useful. PROVIDENCE, R.I. [Brown University] — With the rise of 3D ...

Imagine training a neural network is like navigating a vast, fog-covered mountain range. Your goal is to find the lowest valley—the global minimum of the loss function—but every step you take could ...

In recent years, with the continuous development of reinforcement learning (RL), we have seen promising results in processing continuous action RL tasks 1,2,3,4,5. In dealing with some continuous ...

Heart failure is a leading cause of premature death, especially among individuals with a sedentary lifestyle. Early and accurate detection is essential to prevent the progression of this situation.