Exploring AI Computing

Abstract

This study explores AI systems' use, difficulties, and future in network optimisation, e-commerce, healthcare, and regulatory frameworks. Starting with AI's contribution to personalised marketing and large-scale simulations. The study discusses AI approaches for network routing and optimisation, quantum computing (QC), and big data and machine learning. Machine learning, deep learning, and reinforcement learning are discussed for network analysis, recommendation systems, marketing content personalisation, and adaptive learning. It shows how predictive analysis has affected e-commerce and how AI might improve patient care and precision medicine. Artificial intelligence-driven compliance, privacy, and data security in regulatory frameworks are also examined. AI case studies show real-world applications. The essay finishes with future AI problems and prospects, emphasising trustworthy, impartial, and scalable AI models.

Ähnliche Arbeiten