Showing titles in Machine Theory & Artificial Intelligence

Agentic AI is the next big leap in artificial intelligence. Agentic systems don't just respond to commands. They set goals, make decisions, and take initiative without direct human interaction. Sound like a lot to wrap your head around? Fortunately Agentic AI For Dummies is here to help you gain...

In AI and the Octopus Organization: Building the Superintelligent Firm, leading futurist Jonathan Brill and innovation expert Stephen Wunker unveil a groundbreaking vision for how organizations must evolve to survive and thrive in the age of artificial intelligence. Drawing inspiration from the octopus, an ancient creature noted for both rapid adaptation and distributed intelligence, the authors show that only businesses that rewire their structure, leadership, and decision-making can unlock AI's full potential.

What happens when artificial intelligence saturates political life and depletes the planet? How is AI shaping our understanding of ourselves and our societies? Drawing on more than a decade of research, award-winning scholar Kate Crawford reveals how AI is a technology of extraction: from the minerals drawn from the earth, to the labor pulled from low-wage information workers, to the data taken from every action and expression. This book reveals how this planetary network is fueling a shift toward undemocratic governance and increased inequity.  

We're living through the greatest wealth transfer in history. AI is creating new opportunities faster than any technology before it, but only for those who understand the strategic principles that separate thriving agencies from struggling freelancers. While most people try to build agencies through hustle and guesswork, this playbook teaches you to think systematically—choosing your market carefully and serving it exceptionally well.

NEW YORK TIMES BESTSELLER The bold futurist and renowned author of The Singularity Is Near explores the limitless potential of reverse-engineering the human brain. “This book is a Rosetta Stone for the mystery of human thought.”—Martine Rothblatt, chairman and CEO, United Therapeutics...

An inside view of the AI revolution, from the people and companies making it happen. How did we build large language models? How do they think, if they think? What will the world look like if we have billions of AIs that are as smart as humans, or even smarter?

Artificial intelligence does the seemingly impossible - driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.

In the Age of AI, the constraint has shifted from producing outputs to delivering outcomes. As AI automates knowledge work at unprecedented scale, most organizations remain trapped measuring the wrong things—lines of code, features delivered, and other outputs that AI can now produce almost for free. The real constraint has shifted to organizational structure and the ability to turn strategy into measurable business outcomes.

PLAYING WITH REALITY explores the riveting history of games since the Enlightenment, weaving an unexpected path through military theory, biology, artificial intelligence, neuroscience, cognitive psychology, and the future of democracy. As neuroscientist and physicist Kelly Clancy shows us, games have been deeply intertwined with the arc of history. War games shaped the outcomes of real wars in nineteenth and twentieth century Europe. Game theory warped our understanding of human behavior and brought us to the brink of annihilation.

An exposé of the unprecedented form of power called “surveillance capitalism,” and the quest by powerful corporations to predict and control our behavior “Groundbreaking, magisterial, alarming.” – Financial Times The heady optimism of the Internet’s early days has turned dark...

Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete...

‘Laura Bates explains how they built the future – and forgot to put women in it’ CAITLIN MORAN 'Fascinating and essential... I urge you to read every syllable' JO BRAND ‘All men must read this book if they have any interest in a truly just, fair and equal society’ ROBIN INCE AI is here...

AI for Business is a 30-day tactical framework designed to take you from "overwhelmed operator" to "strategic architect". Using the PROCESS Framework, you will systematically audit the chaos, pinpoint the 20 percent of tasks driving 80 percent of your drag, and engineer a machine that executes the boring work without you.

Brought to you by Penguin 'A path-breaking, thought-provoking and in-depth study of how new technology will transform the world of work' Gordon Brown 'Compelling ... Thought-provoking ... Should be required reading for any presidential candidate thinking about the economy of the future' NEW YORK...

How will AI evolve and what major innovations are on the horizon? What will its impact be on the job market, economy, and society? What is the path toward human-level machine intelligence? What should we be concerned about as artificial intelligence advances? Architects of Intelligence contains a series of in-depth, one-to-one interviews where New York Times best-selling author Martin Ford uncovers the truth behind these questions from some of the brightest minds in the artificial intelligence community.

'Book of the Year' as chosen by The Conversation 'Disconcerting . . . a disturbing and important book' NEW SCIENTIST 'Smart and wonderfully readable' NEW YORK TIMES The bad science and sinister ideas behind Silicon Valley's foolish obsession with immortality, AI paradise and limitless growth...

Automate, delegate, and scale your business workflows in under a week—even with zero tech background. Tired of AI tools that need devs, big budgets, or months to implement? Need fast, no-code automations that work with your current stack? You’re not alone. Most founders and operators want real AI leverage—now, not later. Agentic AI for Business is your rapid-start guide to building powerful, real-world automations—no fluff, no code, no delays.

In this updated and expanded edition of Human + Machine—including a new chapter on gen AI—Daugherty and Wilson show that the essence of the AI paradigm shift is the transformation of all business processes within an organization, whether related to breakthrough innovation, everyday customer service, or personal productivity habits. As humans and smart machines collaborate ever more closely, work processes become more fluid and adaptive, enabling companies to change them on the fly—or completely reimagine them.

In this absorbing and frequently contentious book, Roger Penrose puts forward his view that there are some facets of human thinking that can never be emulated by a machine. The book's central concern is what philosophers call the "mind-body problem". Penrose examines what physics and mathematics can tell us about how the mind works, what they can't, and what we need to know to understand the physical processes of consciousness.

Knowledge graphs model relationships between the objects, events, situations, and concepts in your domain so you can readily identify important patterns in your own data and make better decisions. Paired up with LLMs, they promise huge potential for working with structured and unstructured enterprise data, building recommendation systems, developing fraud detection mechanisms, delivering customer service chatbots, or more. This book provides tools and techniques for efficiently organizing data, modeling a knowledge graph, and incorporating KGs into the functioning of LLMs—and vice versa.