Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data

Enabling project managers to adapt to the new technology of artificial intelligence, this first comprehensive book on the topic discusses how AI will reinvent the project world and allow project managers to focus on people. Studies show that by 2030, 80 percent of project management tasks, such as data collection, reporting, and predictive analysis, will be carried out by AI in a consistent and efficient manner. This book sets out to explore what this will mean for project managers around the world and equips them to embrace this technological advantage for greater project success. Filled with insights and examples from tech providers and project experts, this book is an invaluable resource for PMO leaders, change executives, project managers, programme managers, and portfolio managers. Anyone who is part of the global community of change and project leadership needs to accept and understand the fast- approaching AI technology, and this book shows how to use it to their advantage.

What happens when media technologies are able to interpret our feelings, emotions, moods, and intentions? In this cutting edge new book, Andrew McStay explores that very question and argues that these abilities result in a form of technological empathy. Offering a balanced and incisive overview of the issues raised by ‘Emotional AI’, this book: Provides a clear account of the social benefits and drawbacks of new media trends and technologies such as emoji, wearables and chatbots Demonstrates through empirical research how ‘empathic media’ have been developed and introduced both by start-ups and global tech corporations such as Facebook Helps readers understand the potential implications on everyday life and social relations through examples such as video-gaming, facial coding, virtual reality and cities Calls for a more critical approach to the rollout of emotional AI in public and private spheres Combining established theory with original analysis, this book will change the way students view, use and interact with new technologies. It should be required reading for students and researchers in media, communications, the social sciences and beyond.

The past several years have brought staggering advances in the field of Artificial Intelligence. And Marxist analysis has to keep up: while machines were always central to Marxist analysis, modern AI is a new kind of machine that Marx could not have anticipated. Inhuman Power explores the relationship between Marxist theory and AI through three approaches, each using the lens of a different Marxist theoretical concept. While the idea of widespread AI tends to be celebrated as much as questioned, a deeper analysis of its reach and potential produces a more complex and disturbing picture than has been identified. Inhuman Power argues that on its current trajectory, AI is likely to render humanity obsolete and that the only way to prevent it is a communist revolution.

Written by prominent thought leaders in the global fintech space, The AI Book aggregates diverse expertise into a single, informative volume and explains what artifical intelligence really means and how it can be used across financial services today. Key industry developments are explained in detail, and critical insights from cutting-edge practitioners offer first-hand information and lessons learned. Coverage includes: · Understanding the AI Portfolio: from machine learning to chatbots, to natural language processing (NLP); a deep dive into the Machine Intelligence Landscape; essentials on core technologies, rethinking enterprise, rethinking industries, rethinking humans; quantum computing and next-generation AI · AI experimentation and embedded usage, and the change in business model, value proposition, organisation, customer and co-worker experiences in today’s Financial Services Industry · The future state of financial services and capital markets – what’s next for the real-world implementation of AITech? · The innovating customer – users are not waiting for the financial services industry to work out how AI can re-shape their sector, profitability and competitiveness · Boardroom issues created and magnified by AI trends, including conduct, regulation & oversight in an algo-driven world, cybersecurity, diversity & inclusion, data privacy, the ‘unbundled corporation’ & the future of work, social responsibility, sustainability, and the new leadership imperatives · Ethical considerations of deploying Al solutions and why explainable Al is so important

The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.

Until the mid-1980s, AI researchers assumed that an intelligent system doing high-level reasoning was necessary for the coupling of perception and action. In this traditional model, cognition mediates between perception and plans of action. Realizing that this core AI, as it was known, was illusory, Rodney A. Brooks turned the field of AI on its head by introducing the behavior-based approach to robotics. The cornerstone of behavior-based robotics is the realization that the coupling of perception and action gives rise to all the power of intelligence and that cognition is only in the eye of an observer. Behavior-based robotics has been the basis of successful applications in entertainment, service industries, agriculture, mining, and the home. It has given rise to both autonomous mobile robots and more recent humanoid robots such as Brooks' Cog. This book represents Brooks' initial formulation of and contributions to the development of the behavior-based approach to robotics. It presents all of the key philosophical and technical ideas that put this "bottom-up" approach at the forefront of current research in not only AI but all of cognitive science.

How will AI change our world within twenty years? A pioneering technologist and acclaimed writer team up for a “dazzling” (The New York Times) look at the future that “brims with intriguing insights” (Financial Times). This edition includes a new foreword by Kai-Fu Lee. A BEST BOOK OF THE YEAR: The Wall Street Journal, The Washington Post, Financial Times Long before the advent of ChatGPT, Kai-Fu Lee and Chen Qiufan understood the enormous potential of artificial intelligence to transform our daily lives. But even as the world wakes up to the power of AI, many of us still fail to grasp the big picture. Chatbots and large language models are only the beginning. In this “inspired collaboration” (The Wall Street Journal), Lee and Chen join forces to imagine our world in 2041 and how it will be shaped by AI. In ten gripping, globe-spanning short stories and accompanying commentary, their book introduces readers to an array of eye-opening settings and characters grappling with the new abundance and potential harms of AI technologies like deep learning, mixed reality, robotics, artificial general intelligence, and autonomous weapons.

Red AI: Victories and Warnings From China's Rise In Artificial Intelligence is the definitive book on one of the most important topics of our time. It is the first thorough investigation of the Chinese AI industry and an insight-filled, intriguing narrative that will shed light on China AI for global policymakers, business and technology professionals.This is the first book where readers gain an insider's peek into the much-hyped industry across all the major segments of AI's commercial applications in China. From facial recognition, surveillance, speech recognition, autonomous driving, robotics, AI chips, healthcare, financial services, and other sectors, the book unveils what is really happening behind the scenes in all these areas.Author Nina Xiang, a veteran China-based tech journalist who has tracked the Chinese AI industry for years, interviewed hundreds of people and traveled to dozens of Chinese cities to bring the industry alive with vivid detail. Nina Xiang presents a sweeping overview of an industry that is still largely misunderstood.About the AuthorNina Xiang is the founder of China Money Network, a news and data platform tracking China's smart investments and technology innovation.After graduating as the valedictorian in high school in China, she went on a distinguished journalism career serving in editorial positions at Bloomberg BusinessWeek, Euromoney Institutional Investor, China Radio International and China Business Network in Beijing, New York, Shanghai, and Hong Kong. With nearly 15 years of media experience and as an expert on the Chinese venture capital and technology sector, she is an agenda contributor for the World Economic Forum and contributes to foster cross-border technology cooperation.

If you’re looking for a feel-good book about AI, this isn’t it. This book is written by a battle-scared veteran who innovated the use of AI in the trenches of Hollywood, healthcare, and defense. Grounded in the author's extensive experience, this book delivers a quantifiable vision of the near future that presents a uniquely relatable narrative. Using personal ground-breaking projects, he leverages the well-established precision of Moore's Law to trace the trajectory of pivotal AI-driven technologies and project them into our immediate future. HEALTHCARE Healthcare is a ravenous beast that gobbles up more of the federal budget than Social Security, Defense, and education combined. Despite the illusion of benevolence, it is this country’s largest industry, with only one edict: “charge as much as the market will bear.” So, before we start lauding the abilities of AI to revolutionize healthcare, let’s take a look at what is really going on. Moore’s Law indicates that without strategic advances in AI-robotic healthcare, the global healthcare system will collapse in eight years. HOLOSAPIENS Soon, many of your favorite people won’t be. The integration of Augmented Reality (AR), Artificial Intelligence (AI), and Brain Control Interfaces, Edge Computing sets the stage for the emergence of Holosapiens. In this era, AI-driven virtual entities seamlessly weave into our daily lives, offering companionship, assistance, and entertainment in a profoundly interactive and immersive manner. Moore’s Law says that as BCI and Quantum AI continue to develop, we will soon become them - or them us. AUTONOMOUS LETHALITY if AI were to take on human form, devoid of morals, unable to experience empathy, and untouched by fear, we would undoubtedly label such a being as an extremely dangerous psychopath. Yet these same attributes conspire to give birth to weaponized autonomy, the new face of armed conflict. Moore's Law predicts that within the next five years, we will lose control of autonomous lethality as macro drones and bio-bots upend the society’s balance of checks and measures.