The convergence of semiconductors, energy, and artificial intelligence (AI) creates a more sustainable and technologically advanced future. As the demand for computing power and energy efficiency grows, innovations in semiconductor design and manufacturing enable greener AI systems and smarter energy solutions. From optimizing power grids to reducing carbon footprints, this intersection offers potential across industries. Building a sustainable future requires collaboration among scientists, engineers, and policymakers to balance performance, efficiency, and environmental responsibility in the digital age. Building a Sustainable Future at the Intersection of Semiconductors, Energy, and AI explores the role AI and semiconductors in enhancing energy efficiency, sustainability, and environmental preservation. It examines AI-driven solutions for energy consumption optimization, renewable energy integration, storage systems, and electromobility, addressing the growing electricity demand while mitigating emissions. This book covers topics such as smart technology, environmental science, and renewable energy, and is a useful resource for engineers, business owners, academicians, researchers, and scientists.
