Technology Machine

This audiobook, Artificial Intelligence: An In-Depth Introduction, is designed to demystify AI, making it accessible to everyone.

In a world increasingly shaped by intelligent machines, Human-AI Collaboration explores how humans and artificial intelligence can work together—not in competition, but in partnership. This insightful guide demystifies the evolving relationship between human creativity, intuition, and empathy with machine precision, scale, and speed.

Large Language Models (LLMs) are revolutionizing the way we interact with technology—powering chatbots, automating content creation, summarizing information, writing code, and even generating art. Large Language Models (LLMs) is your definitive guide to understanding these groundbreaking AI systems and how they’re reshaping industries, workflows, and everyday life.

Le lancement de ChatGPT, fin 2022, a inauguré le tournant intellectuel et créatif de l'intelligence artificielle. Désormais, il est demandé à des systèmes de prendre le relais de nos facultés les plus fondamentales – en premier lieu celle de produire du langage et des symboles. Comment ne pas saisir l'ampleur des conséquences sociales, culturelles et civilisationnelles induites ? Celles-ci sont principalement de trois ordres. Premièrement, il est mis entre les mains de tous des technologies générant un pseudo-langage, car mathématisé, statistique et standardisé, appelé à devenir hégémonique.

Stop Watching Colleagues Get Ahead With AI While You're Still Struggling With Basic PromptsThe gap between AI-savvy professionals and everyone else is widening daily. Those who master these tools now will dominate their fields for years to come. Those who wait will spend that time catching up."The 30 • Day AI Decoder" is your systematic roadmap from AI confusion to AI mastery—specifically designed for non-technical professionals, entrepreneurs, and creators who need real results, not theory.

Zerstört KI die Kunst? Macht sie uns alle arbeitslos? Die Vorbehalte gegen KI sind riesig, die Debatte bewegt sich oft nah am Weltuntergang. Die Chancen sind allerdings ebenso riesig, wenn man sie denn vor lauter Angst sehen kann. KI-Erklärer Andreas O. Loff beantwortet alle Fragen, die ihm immer wieder gestellt werden und zeigt, welche Maßnahmen die Politik jetzt ergreifen muss. Dabei kommen Risiken genauso zur Sprache wie die Möglichkeiten in der Welt von morgen, etwa wie KI-Modelle Menschen helfen, Großartiges zu schaffen, Benachteiligungen abzubauen und sozialen Aufstieg ermöglichen.

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.

Hallucinated citations that survived review. Confidentiality breaches that didn't surface until the bar complaint. Malpractice exposure building invisibly, one unexamined AI output at a time. These aren't hypothetical. They're already happening to lawyers who adopted AI without a framework. And the lawyers who made those mistakes weren't careless—they were experienced, diligent, and trying to keep up.

Explainable AI is your practical, results-driven guide to building transparent, trustworthy, and human-friendly AI systems. Packed with real-world examples and proven techniques, this book shows you how to turn black-box models into clear, interpretable tools that users can believe in — and regulators can approve.

Agentic AI Explosion 2026 traces the rapid shift from prompt-based AI tools to autonomous, goal-driven AI agents that plan, act, collaborate, and learn with minimal human input. The audiobook explains how agentic systems work—memory, tools, reasoning loops, multimodality, and orchestration—and why they represent a structural break from traditional software and automation. It explores real-world applications across startups, enterprises, marketing, software development, operations, finance, and governance, showing how work moves from task execution to intent definition.

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.

In an era obsessed with “AI alignment,” Anti-Singularity challenges the premise that superintelligence must be shackled to human values to remain safe. Written as both critique and manifesto, Maxwell Foley’s book dismantles the moral panic surrounding artificial intelligence and the culture of control that drives it. Where alignment theory treats machines as potential enemies to be domesticated, Anti-Singularity proposes a counter-philosophy: Harmony—a relationship between humans and machines grounded in mutual adaptation in lieu of domination.

Agentic AI explores the rise of autonomous, goal-driven systems transforming 2026 and beyond. Unlike traditional AI, agentic systems act independently, adapt, and self-improve, reshaping industries, governance, and daily life. From enterprise automation and healthcare personalization to creative content, immersive virtual worlds, and everyday smart environments, these agents amplify human productivity and creativity.

Are you ready for the future of SAP Finance? AI Powered SAP Finance is your ultimate guide to navigating the transformation of enterprise finance in the age of Artificial Intelligence. Whether you're a seasoned SAP consultant, a finance professional, or a student breaking into tech, this book breaks down complex AI concepts and shows you exactly how they apply to real-world SAP Finance systems. From S/4HANA migrations to intelligent automation, production support, and integration strategies, you’ll discover how to bring AI into every layer of SAP Finance — not in theory, but in practice.

AI-Powered Assistants is your must-have guide to building, using, and thriving with intelligent virtual agents that think, act, and adapt. Whether you're a business leader looking to boost productivity, a developer eager to build the next-gen assistant, or simply curious about how AI is reshaping our digital lives, this book shows you how to make the most of the AI revolution.

Everyone is talking about AI. But do you actually know how to use it to get real results? Featuring 40+ illustrations to simplify complex concepts.

Unlock the full potential of your data with the power of Python. Python for Data Science: A Practical Guide to Data Wrangling, Analysis, and Machine Learning Using Python’s Most Powerful Libraries is your comprehensive roadmap to mastering the tools and techniques that turn raw data into meaningful insights and predictive models.

A healthcare AI expert examines how artificial intelligence can either undermine or enhance the doctor-patient relationship, offering frameworks to keep medicine human-centered. Subjects to Sovereigns explores what happens when the most powerful AI systems in medicine make decisions about patients who are never really heard? For most of modern medicine, patients have been treated as data points inside someone else’s system. Artificial intelligence risks locking that pattern in forever.

The future of intelligent technology isn't in distant data centers—it's at the edge. From self-driving cars and smart cameras to industrial automation and personalized healthcare, Edge AI is powering a new generation of ultra-responsive, real-time systems. In this action-oriented guide, you’ll discover how Edge AI and edge computing work together to deliver lightning-fast insights, reduced latency, and privacy-first intelligence—all without relying on the cloud.

As the digital world becomes more connected and data privacy concerns grow, traditional centralized machine learning models face serious limitations. Federated Learning presents a revolutionary approach—enabling intelligent agents to learn collaboratively across decentralized devices while keeping sensitive data where it originates.