AI for School Teachers will help teachers and headteachers understand enough about AI to build a strategy for how it can be used in their school.

It seems that artificial intelligence (AI) is always only five years away, but recent developments have made the practical utility of game theory and machine learning a genuine reality. Written by leading experts in both Sports Management and AI, AI for Sports begins to answer many questions on the future of this field.

AI for Cars book provides a short-guided tour through many different AI landscapes including robotics, image and speech processing, recommender systems and on to deep learning, all within the automobile world.

Part of any modern defensive IT strategy for a business is guaranteeing data recoverability. Will you, as a busy IT manager, sleep well at night knowing you have a comprehensive plan to enable data recovery? This book focuses on what you need to do to be ready for successful data recovery. And that should help you sleep better at night.

AI for Diversity questions how AI technology can lead to inclusion or exclusion for diverse groups of society. It enables the reader to step back and see how AI is impacting diversity in humans impacted by AI and how diversity-awareness strategies can impact AI.

AI for Dying and Death covers a broad range of literature, research, and challenges around how AI affects death matters and the digital beyond.

The bioscience of immunology has given us a better understanding of human health and disease. Artificial intelligence (AI) has elevated that understanding and its applications in immunology to new levels. Together, AI for immunology is an advancing horizon in health care, disease diagnosis, and prevention.

AI for Creativity provides a fascinating read of what is currently emerging in the very cutting edge area of artificial intelligence and the tools being developed to enable computational creativity that hold the propensity to dramatically change our lives.

Moving well beyond simply speeding up computation, this book tackles AI for Finance from a range of perspectives including business, technology, research, and students. Covering aspects like algorithms, big data, and machine learning, this book answers these and many other questions.

AI for Learners examines how Artificial Intelligence (AI) can, and should, impact positively on human learning, whether it be in formal or informal educational and training contexts. The book considers the different supporting roles that can help a learner - from AI as a peer to AI as a tutor and AI as an assessor, among other things.