Combining clear labeled imagery with easy-to-understand text, this new edition of Simply Artificial Intelligence is the perfect introduction to the latest developments in AI, including ChatGPT and the Internet of Things. Covering a broad range of fields within AI - from computing and mathematics to politics and philosophy - entries demystify what artificial intelligence is and how it works, how it has dramatically changed how we live, and how it might evolve in the future. Everyone is talking about AI, but this book helps to explain each individual aspect of AI more clearly than ever before. This AI book: -Outlines the key building blocks and technological milestones in its history, profiles its most important practical applications - both current and predicted -Explores the ethical debates around AI and its increasing influence on culture and society. -Provides an accessible, reader-friendly guide with detailed imagery and annotated illustrations, expert insights, and jargon-free text -Studies and experiments such as The Turing Test and The Chinese Room experiment This book is part of the Simply Series, which includes books such as Simply Astronomy, Simply Psychology, Simply Maths, and more. Whether you are studying science or AI-related subjects at school or college or simply want a jargon-free overview of this increasingly important subject, this essential guide is packed with everything you need to understand the basics quickly and easily.

Artificial intelligence (AI) has captured our imaginations—and become a distraction. Too many leaders embrace the oversized narratives of artificial minds outpacing human intelligence and lose sight of the original problems they were meant to solve. When businesses try to “do AI,” they place an abstract solution before problems and customers without fully considering whether it is wise, whether the hype is true, or how AI will impact their organization in the long term. Often absent is sound reasoning for why they should go down this path in the first place. Doing AI explores AI for what it actually is—and what it is not— and the problems it can truly solve. In these pages, author Richard Heimann unravels the tricky relationship between problems and high-tech solutions, exploring the pitfalls in solution-centric thinking and explaining how businesses should rethink AI in a way that aligns with their cultures, goals, and values. As the Chief AI Officer at Cybraics Inc., Richard Heimann knows from experience that AI-specific strategies are often bad for business. Doing AI is his comprehensive guide that will help readers understand AI, avoid common pitfalls, and identify beneficial applications for their companies. This book is a must-read for anyone looking for clarity and practical guidance for identifying problems and effectively solving them, rather than getting sidetracked by a shiny new “solution” that doesn’t solve anything.

Understanding AI has never been easier with Simply Artificial Intelligence. Combining bold graphics with easy-to-understand text, Simply Artificial Intelligence is the perfect introduction to the world of AI for those who are short of time but hungry for knowledge. Covering a broad range of fields within AI – from computing and mathematics to politics and philosophy – entries demystify what artificial intelligence is and how it works, how it has dramatically changed the way we live, and how it might evolve in the future. Explaining each individual aspect of AI more clearly than ever before, the book outlines the key building-blocks and technological milestones in its history, profiles its most important practical applications – both current and predicted – and explores the numerous ethical debates around AI, and its increasing influence on culture and society. Dive deep into this book to further discover: - Clear graphics and simple definitions make this complex and increasingly important subject easier to grasp than ever before. - Entries cover a broad range of relevant subject areas – from computing and mathematics to philosophy and politics – exploring and explaining each one in a super-simple way. -Easy-to-understand graphics help to explain over 120 concepts, applications, and theories in a clear, visual way. Whether you are studying science or AI-related subjects at school or college, or simply want a jargon-free overview of this increasingly important subject, this essential guide is packed with everything you need to understand the basics quickly and easily. Perfect for complete beginners and time-poor readers looking for a quick overview of AI. At DK, we believe in the power of discovery. So why stop there? If you like Simply AI then why not complete the collection and try the other books in DK’s wonderful Simply series? Explore the inner workings of the brain like never before with Simply Brain, start asking deeper questions with Simply Philosophy or soar into space with Simply Astronomy.

AI may be the greatest opportunity of our time, with the potential to add nearly $16 trillion to the global economy over the next decade. But so far, adoption has been much slower than anticipated, or so headlines may lead you to believe. With this practical guide, business leaders will discover where they are in their AI journey and learn the steps necessary to successfully scale AI throughout their organization. Authors Rob Thomas and Paul Zikopoulos from IBM introduce C-suite executives and business professionals to the AI Ladder—a unified, prescriptive approach to help them understand and accelerate the AI journey. Complete with real-world examples and real-life experiences, this book explores AI drivers, value, and opportunity, as well as the adoption challenges organizations face. Understand why you can’t have AI without an information architecture (IA) Appreciate how AI is as much a cultural change as it is a technological one Collect data and make it simple and accessible, regardless of where it lives Organize data to create a business-ready analytics foundation Analyze data, and build and scale AI with trust and transparency Infuse AI throughout your entire business and create intelligent workflows

Welcome to the forefront of modern cyber security – a landscape shaped and transformed by the relentless evolution of Artificial Intelligence (AI) and Deep Learning technologies. As we stand at the precipice of the digital era, the need for robust, intelligent defense mechanisms against cyber threats has never been more pressing. This book, "AI-Driven Cyber Security: Navigating the Digital Frontier with Deep Learning" embarks on a comprehensive journey through the intricate realm where cutting-edge AI meets the ever-evolving challenges of cyber security. In the interconnected world we inhabit, where data is the lifeblood of every organisation, the marriage of AI and cyber security becomes not just a choice but a necessity. Moreover, the book contains 8 chapters. They are: 1. Introduction to Cyber Security 2. Foundations of Cyber Security 3. Basics of AI and Deep Learning 4. AI in Cyber Security: An Overview 5. Deep Learning for Threat Detection 6. Natural Language Processing (NLP) in Cyber Security 7. Adversarial Machine Learning 8. Explainability and Transparency in AI Security

AI and Popular Culture sheds light on how artificial intelligence has changed our world and helps you to understand where it might take us next.

Are you ready to unlock the potential of AI through exceptional user experience design? "UX for AI" demystifies the complex world of user experience in the burgeoning field of artificial intelligence. This book is crafted for beginners and provides a thorough introduction to the essentials of UX, tailored specifically for AI applications. In this guide, you'll discover: Fundamentals of UX: Learn what UX is, how it differs from UX research, and why it's crucial in AI. History and Theory: Explore the evolution of UX design thinking and how psychological principles apply to user-centered design. Practical Approaches: Gain insights into defining design problems, conducting effective research, and employing AI-specific design strategies. Ethics and Accessibility: Tackle critical issues such as ethical design, bias in AI, and creating inclusive experiences. Career Guidance: Understand the landscape for UX careers in AI, including skills needed and potential career paths. Whether you're a budding designer, a tech professional looking to shift into UX, or simply AI-curious, "UX for AI" offers the tools and knowledge you need to create impactful, user-friendly AI systems. Embark on your UX journey today and start designing the future of AI!

As humanity continues to push the boundaries of the possibilities of technology and artificial intelligence (AI), it is important that we also consider the spiritual implications of these advances. “AI and Self-Discovery: Risks and Opportunities” looks at the complex and multi-layered relationship between AI and spirituality, exploring both the potential dangers and the exciting opportunities that lie ahead. From a spiritual perspective, the ongoing development of AI raises important questions about the nature of consciousness and the role of technology in shaping our understanding of the world. On the one hand, the ability to create machines that can process large amounts of data raises important ethical and moral dilemmas. On the other hand, the potential of AI to augment human capabilities and enhance our understanding of the world, as well as to process information, could lead to new spiritual insights and a deeper understanding of the human experience.

Artificial intelligence (AI) in its various forms –– machine learning, chatbots, robots, agents, etc. –– is increasingly being seen as a core component of enterprise business workflow and information management systems. The current promise and hype around AI are being driven by software vendors, academic research projects, and startups. However, we posit that the greatest promise and potential for AI lies in the enterprise with its applications touching all organizational facets. With increasing business process and workflow maturity, coupled with recent trends in cloud computing, datafication, IoT, cybersecurity, and advanced analytics, there is an understanding that the challenges of tomorrow cannot be solely addressed by today’s people, processes, and products. There is still considerable mystery, hype, and fear about AI in today’s world. A considerable amount of current discourse focuses on a dystopian future that could adversely affect humanity. Such opinions, with understandable fear of the unknown, don’t consider the history of human innovation, the current state of business and technology, or the primarily augmentative nature of tomorrow’s AI. This book demystifies AI for the enterprise. It takes readers from the basics (definitions, state-of-the-art, etc.) to a multi-industry journey, and concludes with expert advice on everything an organization must do to succeed. Along the way, we debunk myths, provide practical pointers, and include best practices with applicable vignettes. AI brings to enterprise the capabilities that promise new ways by which professionals can address both mundane and interesting challenges more efficiently, effectively, and collaboratively (with humans). The opportunity for tomorrow’s enterprise is to augment existing teams and resources with the power of AI in order to gain competitive advantage, discover new business models, establish or optimize new revenues, and achieve better customer and user satisfaction.