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Olivier Cappé and Claire Marc’s book proves to be a true introductory guide for those wishing to decode artificial intelligence. Comprised of 20 essential questions and answers, this manual illustrated by various researchers not only offers clear explanations of AI concepts such as neural networks, tokenization, and federated learning, but also addresses theoretical issues and concrete applications in various sectors. More than just a book, this work offers the reader a critical reflection on the social and ethical impact of these revolutionary technologies. The manual written by Olivier Cappé and Claire Marc stands out for its innovative approach to explaining the scope and complexity of artificial intelligence (AI) through a series of 20 essential questions and answers. This book is a veritable dive into recent advances in AI, addressing technological concepts, practical applications, and social implications, all enhanced by captivating educational illustrations. An illustrated and accessible handbookThis handbook, despite its simplistic appearance and catchy title, actually offers an in-depth understanding of the challenges and achievements in the field of AI. Each question in the book, addressed by a different researcher without compromising the overall quality, allows readers to get straight to the point. The paragraphs are concise, often reduced to one or two sentences, and conclude with a summary « final word. » Diving into the heart of artificial intelligenceThe first three questions of the book take us through the recent history of AI, leading us to the advent of generative artificial intelligence systems. The book then addresses key concepts such as learning, neural networks, tokens, inference, and more. The technique of Image generation by diffusion model is impressively explained in a few words and five drawings.A critical look at AI applicationsThe book not only highlights the capabilities of AI, but also questions its true
« intelligence » and creativity. Four separate chapters focus on the practical applications of AI, particularly in healthcare ,robotics
, and
research
. Each of these chapters provides an opportunity to discuss current limitations, what is feasible, and what remains elusive.
Social issues at the forefront Finally, social and ethical issues are addressed. The authors address crucial aspects such as privacy, security, biases of various types, and ethics. Advanced concepts such as federated learning, causality, and optimization bias are discussed. This book offers a comprehensive yet accessible overview of a rapidly expanding field, prompting reflection on the future of these captivating technologies.
