Showing results for "computer science" in Machine Theory & Artificial Intelligence

In this audiobook, you'll get a clear overview of artificial intelligence technology, the common misconceptions surrounding it, and a fascinating look at its applications in everything from self-driving cars and drones to its contributions in the medical field.

Every day, we use our computers to perform remarkable feats. A simple web search picks out a handful of relevant needles from the world's biggest haystack. Uploading a photo to Facebook transmits millions of pieces of information over numerous error-prone network links, yet somehow a perfect copy of the photo arrives intact. Without even knowing it, we use public-key cryptography to transmit secret information like credit card numbers, and we use digital signatures to verify the identity of the websites we visit.

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

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.

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.

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.

If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.

You've seen what AI can do. You've watched the demos, tested the tools, bookmarked the threads. But somewhere between inspiration and execution, the path blurred. Too many options. Too many gurus. Too many "ultimate guides" that left you with more questions than answers. It’s true—the window is open, but it won't stay open forever. This 2-in-1 collection gives you everything you need to go from stuck to profitable, whether you want to launch a lean AI service from scratch or scale a full agency that replaces your salary.

We are living through one of the most important technological transitions in human history. Not because machines are becoming faster. Not because software is becoming smarter. But because intelligence itself is becoming scalable. For decades, computing amplified human labor. Today, artificial intelligence is amplifying human thinking. The transition from GPT • 4 to GPT • 6 and beyond represents something profound. AI is no longer just responding. It is reasoning. It is assisting decision-making. It is helping humans create, analyze, design, and innovate at speeds never before possible.

In February 2026, sixteen autonomous AI agents built a complete C compiler in just 14 days. They wrote 100,000 lines of production code, compiled the Linux kernel and PostgreSQL, and managed their own Git workflows without human intervention. This wasn't a research experiment. It was proof that AI agent swarms can deliver enterprise-grade software faster than traditional development teams.

Marketing Principles Plus AI traces the evolution of marketing from ancient trade and storytelling to the age of algorithms, revealing how the timeless principles of persuasion—attention, trust, empathy, and storytelling—adapt to each technological era.

AI-Powered Social Media Marketing 2026 gives you a step-by-step blueprint for this new era. This isn’t theory, it’s practical, actionable, and built for creators, marketers, and business owners who want real results.

AI Prompts for Everyday People is a practical, approachable guide designed to help listeners get better results from artificial intelligence in everyday situations. The book focuses on clarity, usability, and real-world application rather than technical explanations or coding. The content is structured around clear explanations and ready-to-use prompts that cover daily life, work, productivity, decision-making, creativity, money, and thinking more clearly. The tone throughout the book is calm, grounded, and confidence-building—never hype-driven or overly technical.

Today, many decisions that could be made by human beings, from predicting earthquakes to interpreting languages, can now be made by computer algorithms with advanced analytic capabilities. Every day, we make millions of decisions. However, these decisions may be imperfect due to limited experience, implicit biases, or faulty probabilistic reasoning. Algorithms can better predict human behavior than trained psychologists and with much simpler criteria. Discover how algorithms shape and impact our world.

Are you captivated by the rapid advancements in AI but feel overwhelmed by the sheer variety of options? Do you find the terminology daunting? Or are you simply unsure where to begin with this transformative technology? This book is your gateway to not just understanding but mastering the exciting world of Generative AI. I will introduce to you a jargon-free, hands-on guide to Generative AI. AI for Beginners Playbook simplifies complex theories, equips you with practical skills, and sparks your creativity.

Unlock the transformative potential of generative AI for your enterprise with "Understanding Generative AI for Business Leaders." This indispensable guide simplifies the complex world of AI, offering a beginner-friendly introduction and practical strategies for effective and ethical integration.

AI-Built Digital Empire is a practical, step-by-step guide for solopreneurs, creators, consultants, and online business builders who want to scale faster—without hiring teams, burning out, or working longer hours. This book shows how artificial intelligence can act as a silent co-founder, handling automation, content creation, customer engagement, analytics, and workflows while you focus on strategy and vision.

Futurists insist that AI will soon eclipse the capacities of the most gifted human mind. What hope do we have against superintelligent machines? But we aren't really on the path to developing intelligent machines. In fact, we don't even know where that path might be. Erik Larson takes us on a tour of the landscape of AI to show how far we are from superintelligence and what it would take to get there.

Expanded and extended, this new edition of ChatGPT for Dummies covers the latest tools, models, and options available on the popular generative AI platform. You'll learn best practices for using ChatGPT as a text and media generation tool, research assistant, and content reviewer.

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.