Abstract: Neural architecture search (NAS) is a popular method that can automatically design deep neural network structures. However, designing a neural network using NAS is computationally expensive.

Copyright: © 2026 The Author(s). Published by Elsevier Ltd. The impressive feats of machine-learning models in the past decade have been driven by two important ...

In resistor networks, physics computes voltages at selected output nodes automatically and rapidly by exploiting Kirchhoff’s laws when voltages are applied at input nodes. Such networks have been ...

What is a neural network? A neural network, also known as an artificial neural network, is a type of machine learning that works similarly to how the human brain processes information. Instead of ...

One of the most defining characteristics of neural networks is their ability to learn from data, distinguishing them from traditional AI systems that rely on explicit programming. This learning ...

Compilation is an important process in program development, in which a program called a compiler translates source code written in a programming language into machine code executable on computer ...

Artificial neural networks are very time consuming and energy intensive to train, especially when increasing the size of the neural network in an attempt to improve the performance. In this paper, we ...