Showing titles in Machine Theory & Artificial Intelligence

Artificial Intelligence is rapidly changing many industries, but with its power comes responsibility. "AI Governance: Ensuring Trust, Security, and Ethics in AI-Based Systems" is your guide to navigating the challenges of responsible AI development and deployment. Written by cybersecurity expert Dr. Kellep A. Charles, this essential resource connects AI innovation with ethical practices.

Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation. With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice.

In this advisedly optimistic book, Rewiring Democracy, security technologist Bruce Schneier and data scientist Nathan Sanders cut through the AI hype and examine the myriad ways that AI is transforming every aspect of democracy—for both good and ill. The authors describe how the sophistication of AI will fulfill demands from lawmakers for more complex legislation, reducing deference to the executive branch and altering the balance of power between lawmakers and administrators

What if the struggle of launching an e-commerce business—finding products, creating professional content, managing operations—is completely unnecessary in the AI era? While you're agonizing over product photography, spending days writing descriptions, wondering how to handle customer service without hiring expensive staff, and watching competitors with bigger budgets dominate your market, early adopters have discovered how to use AI to build e-commerce businesses that generate six figures annually with minimal teams and sustainable profit margins.

A decade ago, developers built information-sharing software by writing a lot of custom code in a single code base, then adding layers of caching. Now we build information systems: interdependent software and services, data platforms, and event streams. Many of our software-to-systems initiatives fail, though, and when they do, we double down on traditional linear approaches. But linear thinking cannot resolve systems challenges. We need to shift to systems thinking.

Artificial Intelligence (AI) is causing massive changes in our lives, both at the individual and societal level, with the global AI market expected to reach around 126 billion US dollars by 2025. As more and more decision-making moves to AI systems, unique risks are being introduced. However, this topic can be quite challenging for newcomers who want to understand the governance and cyber-security risks that AI introduces. This book assumes zero prior knowledge of AI or machine learning and explains in an easy-to-understand way how to govern and secure AI.

What if everything you've ever known—every thought, every emotion, every moment—was part of a simulation? Once dismissed as science fiction, the Simulation Hypothesis has surged into mainstream discussion, embraced by philosophers, physicists, and tech visionaries alike. As computing power soars and virtual realities grow more immersive, the idea that our universe might itself be a simulation becomes less absurd—and more plausible. But if we are in a simulation, the next question is both thrilling and unsettling: Who—or what—is running it? And why?

If you’re ready to save time, slash costs, and grow faster in a world moving at AI speed, this 3-in-1 guide is your ultimate shortcut. Whether you’re a solo entrepreneur, a leader navigating digital change, or just AI-curious, this audiobook distills the core systems behind AI Agents, Prompt Engineering, and Generative AI into a powerful, beginner-friendly format.

In the age of Artificial Intelligence, how you ask the question is just as important as the answer you receive. Understanding Prompt Engineering: 10 Tips for Better AI Results is your essential guide to unlocking the full potential of AI models like ChatGPT, Claude, and other large language systems. Whether you're a writer, analyst, educator, marketer, coder—or simply someone curious about the future—this book will show you how to communicate with AI effectively and get results that are precise, useful, and compelling.

Artificial Intelligence Agents: Learn to Build Smart AI Agents with ChatGPT—No Coding, No Experience Needed is your gateway into the future of automation—designed especially for curious beginners, busy professionals, and ambitious side-hustlers.

WHAT IF MASTERING AI WASN'T ABOUT TECHNOLOGY BUT ABOUT UNLOCKING A SMARTER, MORE POWERFUL VERSION OF YOU? This 2-in-1 audiobook guide turns AI from a tool you use into a strategic partner that thinks, plans, and grows with you. Perfect for beginners and innovators alike, it blends practical...

Orwell, Huxley, and Bradbury all saw failings in the way society was evolving. We read their books, watched the movies, and considered them to be great entertainment, but we are now at a crucial point where signs from their dystopian worlds are already visible in the real world, and we appear to be happily heading towards something darker. A compelling and unsettling read, both passionate and well-informed, that explores the challenges facing society, business, and education as we adapt to an AI-driven world.

Artificial Intelligence is changing everything—how we work, how we communicate, even how we make decisions. Yet public understanding of AI is still riddled with sensationalism, fear, and misunderstanding. Is AI a conscious entity preparing to take over the world? Is it going to replace every human job? Is it inherently fair, objective, or creative? The answer to all of these questions is far more nuanced than headlines suggest.

The Complete Beginner's Guide to Building Autonomous Systems with LLMs and Agentic Agents is your step-by-step roadmap into the future of intelligent automation. Designed specifically for beginners, this guide breaks down complex AI concepts into clear, practical lessons—no advanced background required. Inside, you'll discover how Large Language Models (LLMs) work, how agentic systems make decisions, and how to connect tools, memory, and workflows into fully autonomous AI pipelines.

Have you ever chatted with a computer that seemed to really get you? Asked it a question and, seconds later, it gave you an answer that was actually useful—or even surprisingly insightful? If you’ve had that experience recently, there’s a good chance you were talking to ChatGPT. It might feel a bit like science fiction—an artificial intelligence that can hold a conversation, write emails, draft stories, explain complex topics, and even tell you a joke or two. But ChatGPT isn’t a futuristic fantasy anymore.

Artificial intelligence is forecasted to have trillions of dollars of impact on businesses and the economy, yet many marketers struggle to understand what it is and how to apply it in their marketing efforts. The truth is, AI possesses the power to change everything. Marketing Artificial Intelligence draws on years of research and dozens of interviews with AI marketers, executives, engineers, and entrepreneurs. Roetzer and Kaput present the current potential of AI, as well as a glimpse into the near future.

From New York Times bestselling author Dana Suskind, a timely, urgent guide to parenting in the age of artificial intelligence—and protecting what matters most in childhood “A stunning book about how to protect our children—and our humanity—in the age of AI." —Adam Grant "Hope is not...

Artificial intelligence is surrounded by noise—doomsday warnings, breathless hype, and promises of salvation. This book cuts through all of it. In What You Need to Know About AI, James Wang delivers a clear, structured, and intellectually grounded guide to one of the most transformative technologies of our time. Avoiding technical jargon and exaggerated claims, he explains how today's AI systems actually work, where they are most impactful, and what challenges remain.

Are you intrigued by the incredible impact of AI but worried about maintaining your humanity and personal boundaries? Curious about how it can enhance, rather than overshadow, your life? Do you fear losing touch with real-world interactions as you unlock the potential of technology? Rest assured, your concerns are valid, and you are not alone. Today's ever-evolving digital landscape can feel overwhelming, especially with the rapid developments in artificial intelligence.

We often think of AI in terms of futuristic robots with glowing eyes or walking, talking machines that look and act like humans. That’s the image many movies and books give us, and while that vision is fascinating, it’s only a tiny slice of what AI actually is. In real life, AI is less about building androids and more about designing systems that can learn, reason, and adapt—traits we usually associate with human intelligence. It’s about creating software and machines that can recognize patterns, make decisions, and even improve themselves over time through experience.