Artificial Neural Network

Artificial neural networks (ANNs) are computational models inspired by the structure and function of the brain, primarily used for pattern recognition, prediction, and classification. Current research focuses on improving ANN performance and interpretability, exploring variations like spiking neural networks (SNNs) for energy efficiency and employing techniques like layer-wise relevance propagation to understand decision-making processes. ANNs are proving valuable across diverse fields, from astrophysics (e.g., stellar age estimation) and medical diagnosis (e.g., Alzheimer's detection) to engineering applications (e.g., optimizing industrial processes), demonstrating their broad impact and continued development.