Therefore, parallel computing and acceleration techniques have become crucial in the research and application of neural networks, as they can significantly enhance the performance and efficiency of ...

The integration of biological principles into artificial visual systems is advancing machine vision, enabling superior ...

1 KNDS Deutschland GmbH & Co. KG, Munich, Germany 2 Institute for Software Technology, University of the Bundeswehr Munich, Neubiberg, Germany Artificial intelligence (AI) has emerged as a ...

Artificial neural networks are machine learning models that have been applied to various genomic problems, with the ability to learn non-linear relationships and model high-dimensional data. These ...

Abstract: As an effective parametric modeling technique, the artificial neural network-based model provides accurate and rapid predictions of electromagnetic (EM) response behaviors for devices. This ...

ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...

Create a fully connected feedforward neural network from the ground up with Python — unlock the power of deep learning! Can You Guess What Letter Is Not in Any U.S. State Name? Toddler Erupts in Tears ...