Neural Network Algorithm

Neural network algorithms are computational models inspired by the structure and function of the brain, primarily used for pattern recognition, prediction, and decision-making. Current research focuses on optimizing these algorithms for specific hardware architectures (like RISC-V), improving their explainability (e.g., using Shapley values), and enhancing their robustness against adversarial attacks. These advancements are driving significant impacts across diverse fields, including finance (credit risk assessment), healthcare (disease detection), and engineering (real-time monitoring and control systems), by enabling more accurate, efficient, and reliable solutions to complex problems.