Showing titles in Machine Theory & Artificial Intelligence

What if your affiliate business could run 24/7 finding products, creating content, driving traffic, and making sales without burning you out? Welcome to AI-Powered Affiliate Marketing 2026, a step-by-step guide for building a scalable, automated, and future-proof affiliate business using artificial intelligence. If traditional affiliate tactics feel slow, oversaturated, or confusing, this book shows how today’s top marketers use AI to work smarter, not harder. Affiliate marketing has changed. Algorithms decide visibility. Automation drives conversions. Personalization builds trust.

Warum lässt sich die Öffentlichkeit durch Spekulation über Erlösung oder Auslöschung durch KI von den erheblichen Schäden durch KI in unserer Gegenwart ablenken? Wie erkennen wir die zunehmend faschistischen Tendenzen, die sich im Zusammenspiel von Tech-Industrie und der neuen Rechten bilden? Rainer Mühlhoff entwickelt Antworten und diskutiert Lösungsansätze.

Organizations have invested $30–40 billion in AI. According to MIT (2025), 95% produced no measurable return. Only 5% made it into daily workflows. If you're reading this, you're trying not to become that statistic—or you already are. The problem isn't bad technology. Most AI failures don't begin at scale. They begin during pilots, when early success builds confidence without revealing risks that surface once AI enters real workflows and decisions under pressure.

Just months ago, millions of people were stunned by ChatGPT's amazing abilities–and its bizarre hallucinations. But that was 2022. GPT-4 is now here, with smarter, more accurate, and deeper technical knowledge. GPT-4 and its competitors and followers are on the verge of transforming medicine. But with lives on the line, you need to understand these technologies–stat.

Artificial intelligence may be the most transformative technology of our time. As AI’s power grows, so does the need to figure out what—and who—this technology is really for. AI Needs You argues that it is critical for society to take the lead in answering this urgent question and ensuring that AI fulfills its promise.

In a world of digital overload and never-ending work demands, Microsoft Copilot stands as a breakthrough in productivity. What once took hours—summarizing reports, formatting presentations, calculating forecasts—can now be done in minutes with precision and personalization. This book is a guide for professionals ready to integrate AI into their daily work, not as a novelty, but as a core tool for speed, clarity, and strategic thinking.

In The AI Engineering Bootcamp: Build, Ship, Share, AI Makerspace cofounders "Dr. Greg" Loughnane and Chris "The Wiz" Alexiuk guide the listener through the foundational concepts and code needed to build production-grade Large Language Model (LLM) applications using leading open-source tooling. The book explains the four primary design patterns of generative AI―prompt engineering, Retrieval Augmented Generation (RAG), fine-tuning, and agentic reasoning―and how to leverage them as first principles to build scalable LLM applications that are high-performance and efficient.

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.

This friendly guide teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. This accesible introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.

In Quiver, don't Quake, Nadim Sadek shows how to partner with Allied Intelligence to amplify - not replace - your imagination. With a maker's voice and a psychologist's clarity, he reframes AI as a creative collaborator, liberating the creativity of all 8 billion people on Earth. Sadek gives you the tools to dance with it.

We live in an incredible period in history. The computer revolution may be even more life-changing than the Industrial Revolution. We can do things with computers that could never be done before, and computers can do things for us that could never be done before. But our love of computers should not cloud our thinking about their limitations. The AI Delusion explains why we should not be intimidated into thinking that computers are infallible, that data-mining is knowledge discovery, and that black boxes should be trusted. 

Drawing from her experience at Google and Meta, Dr. Marily Nika delivers the definitive guide for product managers building AI and GenAI powered products. Packed with smart strategies, actionable tools, and real-world examples, this book breaks down the complex world of AI agents and generative AI products into a playbook for driving innovation to help product leaders bridge the gap between niche AI and GenAI technologies and user pain points. 

Agentic AI goes beyond simply automating tasks. It can plan, make decisions, take action, and adapt to new information. AI agents are capable of collaborating with other agents, systems, and people—reshaping how work gets done and how value is created. The rise of these digital workers will have a profound effect on industries, roles, and organizations of all sizes.

Regulating the Algorithm is a clear, practical guide to the fast-moving world of AI laws in the UK, EU, and United States. Written in plain language for business leaders, policy teams, lawyers, technologists, founders, and anyone who needs to turn principles into practice, it cuts through hype and legal jargon to explain what the new rules actually mean, why they were created, and how to comply without slowing innovation.

This book is for engineering leaders and experienced developers who want to build serious software with AI—and actually unlock the leverage it offers. It introduces a clear, step-by-step workflow that makes this approach reliable, repeatable, and scalable. You’ll learn a practical, disciplined approach to building applications—not with AI as a co-pilot, but as the primary developer.

Large language models (LLMs) and generative AI are rapidly changing the healthcare industry. These technologies have the potential to revolutionize healthcare by improving the efficiency, accuracy, and personalization of care. This practical book shows healthcare leaders, researchers, data scientists, and AI engineers the potential of LLMs and generative AI today and in the future, using storytelling and illustrative use cases in healthcare.

This audiobook empowers ordinary individuals to create extraordinary achievements with ChatGPT. Discover coveted AI secrets and let ChatGPT revolutionize your world. Don't let AI leave you behind: learn insider strategies to propel yourself to the top. Transform your life, business, and future with this life-changing opportunity. Dive into the immersive world of ChatGPT, revolutionizing communication and unleashing creative potential. With easy-to-follow exercises, ignite the imagination, create passive income, study, and achieve extraordinary heights.

How does a neural network become a brain? While neurobiologists investigate how nature accomplishes this feat, computer scientists interested in AI strive to achieve this through technology. The Self-Assembling Brain tells the stories of both fields, exploring the historical and modern approaches taken by the scientists pursuing answers to the quandary: What information is necessary to make an intelligent neural network? As Peter Robin Hiesinger argues, "the information problem" underlies both fields. 

As artificial intelligence reshapes the workplace, you face an unprecedented challenge—one this book transforms into an extraordinary opportunity! Whether you're anxious about your future, struggling to harness AI’s potential, leading teams through change, or preparing to become a Human-AI Coach, Dr. Jon Finn reveals a groundbreaking “first principles” approach to supercharging human cognitive performance—just as sports science revolutionized world-champion athletes' physical abilities.

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.