This volume approaches Artificial Intelligence for sustainability from two angles. First, it looks at AI systems themselves, which consume a surprising amount of energy to function, and examines ways they can be made more efficient and sustainable. Secondly, it examines how AI can be used to create efficiencies and make buildings, power grids, the manufacturing sector, and more sustainable. The chapters here also provide a comprehensive but compact overview of the latest in AI technologies and how they work. This volume will be useful to AI engineers, data scientists, software developers, academics, researchers, and more.
This volume approaches Artificial Intelligence for sustainability from two angles. First, it looks at AI systems themselves, which consume a surprising amount of energy to function, and examines ways they can be made more efficient and sustainable. Secondly, it examines how AI can be used to create efficiencies and make buildings, power grids, the manufacturing sector, and more sustainable. The chapters here also provide a comprehensive but compact overview of the latest in AI technologies and how they work. This volume will be useful to AI engineers, data scientists, software developers, academics, researchers, and more.
Pethuru Raj
Sustainable AI Large language models Energy efficiency Optimized AI models machine and deep learning algorithms Distributed reinforcement learning