Parallel Computation of Artificial Intelligence and Its Applications in Semiconductor Industry

The convergence of artificial intelligence (AI), parallel computing, and the semiconductor industry are thoroughly explored in the current chapter. The theoretical underpinnings of AI and parallel computing are covered in the book's first section, which covers subjects including deep neural networks, machine learning models, distributed computing architectures, and parallel algorithms. Furthermore, the current book chapter also explores real-world uses of AI and parallel computing in the semiconductor business. This section's chapters examine how yield optimization, defect detection, predictive maintenance, and quality control procedures in the semiconductor manufacturing industry can be improved by using parallel computing techniques.