Showing titles in Machine Theory & Artificial Intelligence

Will AI lead to the transformation of society as we know it, or bring about its destruction?

Want to Implement AI Agents in Your Organization? Heard of Agentic AI & Wonder What It Is About? Need a No-BS Guide to Implementing AI Agents Today? If you answered yes to any of these questions, then keep reading ... Amazon-bestselling author and AI consultant David M. Patel is going to show in this comprehensive hands-on executive guide to AI Agents everything you need to know to implement and harness the full potential of AI Agents & Agentic AI in your organization.

This eye-opening narrative journey into the rapidly changing world of artificial intelligence reveals the dangerous ways AI is exploiting the unconscious habits of our minds, and the real threat it poses to humanity: "The best book I have ever read about AI" (New York Times bestselling author...

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.

Pronto viviremos rodeados de una inteligencia artificial responsable de ejecutar tareas complejas: desde gestionar negocios y producir contenido digital ilimitado hasta dirigir servicios públicos fundamentales o mantener infraestructuras. Habitaremos un mundo de impresoras de ADN y ordenadores cuánticos, patógenos artificiales y armas autónomas, robots asistentes y energía abundante. Todo esto supone una transformación radical en la capacidad humana.

How AI Really Thinks takes you behind the screen and uncovers the ten core secrets that make modern artificial intelligence work. You’ll discover why data acts as AI’s fuel, how algorithms function as its rulebook, and how machines learn from examples the same way people learn from experience. You’ll explore the training methods that help AI recognise pictures and understand speech, and you’ll see how neural networks—loosely inspired by the human brain—allow AI to detect patterns far too complex for us to notice.

The bestselling book on Python deep learning, now covering generative AI, Keras 3, PyTorch, and JAX! Deep Learning with Python (Third Edition) puts the power of deep learning in your hands. This new edition includes the latest Keras and TensorFlow features, generative AI models, and added coverage of PyTorch and JAX. Learn directly from the creator of Keras and step confidently into the world of deep learning with Python.

How to stay ahead in a world transformed by AI. If you read (or listen to) nothing else on AI, listen to this book. We've chosen a new selection of current and classic Harvard Business Review articles that will help you make sense of the shifting landscape, anticipate opportunities and threats...

Coexisting with AI: Work, Love, and Play in a Changing World is an exploration of how AI can be used at each stage of our lives. It helps listeners understand the positive impact of AI and where governance is needed from both an individual and business perspective. From childhood through to aging, this book delivers a holistic understanding of this exciting new technology in language that anyone can understand regardless of technical expertise.

A defense technology expert and military leader reveals the future of robotic warfare, and illuminates the path to navigate the approaching storm of global change.

That's not a hypothetical. It's exactly how Amazon Web Services (AWS) scaled to $107 billion, and it's how Fortune 500 companies are winning today. This book shows you how. You're likely facing these challenges: AI pilots stuck in demo mode, consultants selling slideware, and mounting board pressure. Technology debt is bleeding your budget and slowing your team. You need a proven approach, not more theory.

AI is inescapable, from its mundane uses online to its increasingly consequential decision-making in courtrooms, job interviews, and wars. The ubiquity of AI is so great that it might produce public resignation—a sense that the technology is our shared fate. As economist Maximilian Kasy shows in The Means of Prediction, artificial intelligence, far from being an unstoppable force, is irrevocably shaped by human decisions—choices made to date by the ownership class that steers its development and deployment.

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.

In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You’ll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks.

Artificial Intelligence helps choose what books you buy, what movies you see, and even who you date. It puts the "smart" in your smartphone and soon it will drive your car. It makes most of the trades on Wall Street, and controls vital energy, water, and transportation infrastructure. But Artificial Intelligence can also threaten our existence. In as little as a decade, AI could match and then surpass human intelligence. Corporations and government agencies are pouring billions into achieving AI’s Holy Grail - human-level intelligence.

ChatGPT Side Hustles that Actually Pay: A Practical, No-Hype Guide to AI Side Hustles. AI is the biggest income shift since the internet, and most people are about to miss it. This audiobook shows you how to turn ChatGPT into a real money-making tool, even if you are starting with zero skills, zero audience, and zero technical background. No fluff. No fake gurus. No empty promises. Just proven AI side hustles that are paying right now, and clear guidance on how to get started.

What is economic growth? And why, historically, has it occurred in only a few places? Previous efforts to answer these questions have focused on institutions, geography, finances, and psychology. But according to MIT's anti-disciplinarian César Hidalgo, understanding the nature of economic growth demands transcending the social sciences and including the natural sciences of information, networks, and complexity. To understand the growth of economies, Hidalgo argues, we first need to understand the growth of order.

What if you could build your AI agent in a single weekend—no coding, no stress, no wasted time? With Build AI Agents with GPT-5, you’ll discover the simple, no-code blueprint for creating smart, reliable AI teammates that save you hours, grow your business, and give you back your most precious resource: time. Forget the hype and confusion. This book cuts through the noise with step-by-step projects, real-world workflows, and ready-to-use prompts.

It seems that just about every new technology that we bring to bear on improving our lives brings with it some downside, side effect, or unintended consequence. These issues can pose very real and growing ethical problems for all of us. For example, automated facial recognition can make life easier and safer for us—but it also poses huge issues with regard to privacy, ownership of data, and even identity theft. Technology Is Not Neutral addresses one of today’s most pressing problems: How to create and use tools and technologies to maximize benefits and minimize harms.

The explosion of generative AI has sparked a wave of case studies showing how quickly and profoundly it is transforming businesses. Yet most of these use cases still apply the technology to enhancing existing systems. This book makes the case for why business leaders must revisit the...