Artificial Intelligence in Digital Engineering Harnessing Machine Learning Algorithms and Deep Learning Models to Enhance Design and Functionality

Abstract

Artificial Intelligence (AI) has revolutionized digital engineering, enhancing design processes, system optimization, and operational efficiency. Machine Learning (ML) and Deep Learning (DL), as key subsets of AI, enable engineers to process extensive datasets and identify patterns for improved decision-making. ML algorithms, such as supervised, unsupervised, and reinforcement learning, have been instrumental in predictive maintenance, defect detection, and process optimization. Advanced DL models further enhance predictive capabilities, offering nuanced insights for complex engineering tasks. The integration of AI tools like ML and DL has become a cornerstone in modern engineering, enabling real-time simulations and predictive analytics, which significantly reduce costs and improve system performance across industries.