The rapid advancement of Artificial Intelligence (AI), particularly in natural language processing models, is driving transformative change across emerging domains, including cybersecurity, intelligent automation, and data-driven decision-making. These developments introduce complex challenges that require interdisciplinary approaches, integrating AI with the Internet of Things (IoT) and Machine Learning (ML) to enhance adaptability and resilience. In cybersecurity, AI is playing a crucial role in threat prediction, anomaly detection, and real-time response systems. The pace of digital transformation has accelerated, with automation—powered by computational intelligence—enabling high productivity and near-zero error operations. Mathematical modelling has become essential for validating the accuracy, stability, and performance of such intelligent systems. Coupled with high-performance computing (HPC), computational models facilitate the simulation and resolution of large-scale, non-linear problems across engineering and technology domains. This convergence of AI and computation marks a paradigm shift in how complex problems are analysed and solved in modern environments.