検索キーワード： 機械理論・人工知能

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.

WHAT IF AI COULD THINK, PLAN, AND ACT—NOT JUST FOLLOW COMMANDS? Agentic Artificial Intelligence reveals how to turn today's AI into your smartest business partner—one that amplifies your decisions, drives innovation, and accelerates results. Written as a clear, actionable roadmap, this...

In an era where machines compose poetry and algorithms mimic emotion, Machines Coming for Our Souls explores the fragile line between human creativity and artificial intelligence. Alexander Joseph Alfano examines the spiritual and artistic upheaval caused by technology’s intrusion into the sacred act of creation. Through eloquent prose and philosophical insight, the book asks whether authenticity can survive in a world where imagination is automated and originality is replicated.

Artificial Intelligence is transforming business, communication, creativity, and everyday life. The question is no longer “Should I learn AI?” but rather “How fast can I start using it?” This book gives you that head start — without the jargon, confusion, or overwhelm.

AI is nothing to be afraid of. After all, AI is merely software. It's great at some things and (at least right now) terrible at others. But for workers who take time to experiment with AI and develop expertise, AI will make them more productive and more creative, saving them time, giving them...

A frank, hands-on guide to using AI at work, unpacking for the curious and skeptical alike the “24 Laws” of AI and revealing strategies that businesses of every size can use to free up time, innovate, and add to the bottom line—from a Wall Street Journal tech columnist “The antidote to...

For business leaders navigating the AI era, this book is your executive guide to clarity, strategy, and real-world results. Artificial Intelligence is disrupting industries, but success doesn’t come from hype; it comes from readiness. From Data to Decisions offers insights from Chelle Meadows, a corporate operations leader and AI strategist helping executives drive real transformation through AI. This guide bridges the gap between innovation theory and practical execution.

Artificial Intelligence is everywhere, but for many people, it still feels confusing, intimidating, or out of reach. This book is written for professionals, entrepreneurs, students, and curious listeners who want to understand artificial intelligence without becoming technical or learning to code.

Are you curious about how Artificial Intelligence (AI) is reshaping our world, but feel overwhelmed by the technical jargon? Do you want to leverage AI for professional growth but worry about your lack of coding skills? Are you eager to stay updated with the latest tech advancements without diving into complex algorithms? If you answered "yes" to any of these questions, you're not alone. Many students, professionals, and lifelong learners face similar challenges. But this book can change that, providing clear explanations and practical insights into AI without requiring any coding skills.

AI tools are everywhere. Clear guidance on what to build with them is not. Most people don’t fail with AI because they lack access, skill, or motivation. They fail because they never decide what deserves their focus. They keep learning and tweaking—while real progress stays just out of reach. If you’ve explored platforms, followed tutorials, and still asked yourself how you could monetize AI—it isn’t confusion. It’s a missing decision framework.

El año 2026 no es un hito lejano en un horizonte tecnológico lento; es la cresta de la ola. El tiempo de conceptualizar el impacto futuro de la IA ha terminado. Ahora estamos entrando en una era comprimida y de alta velocidad—el Salto de Tres Años (2026–2028)—que redefinirá la estructura del trabajo, el capital y la sociedad. Este libro es una guía de campo para ese salto. Durante décadas, la IA fue un asistente computacional, que requería instrucciones explícitas para cada tarea.

In Understanding Artificial Intelligence: Of Minds and Machines, philosopher Patrick Grim traces the story of AI from ancient legends to the neural networks behind today’s breakthroughs. You see how modern systems became so powerful so quickly. You also explore the very meaning of “intelligence,” discovering how modern AI succeeds by drawing on three resources: vast datasets that let systems learn from examples; deep-learning architectures loosely modeled on the brain’s layers; and feedback loops that help models refine their behavior.

Most people don’t need “better AI.” They need control. Right now, AI feels random. Sometimes it works. Sometimes it gives you something amazing. Most of the time… it misses the mark and you don’t know why. That’s not an AI problem. That’s a communication problem. Nano Banana Pro was written to fix that. This is not a theory book. It’s not a hype book. And it’s definitely not a “here’s what AI might do someday” book.

Hay momentos en la historia en los que la tecnología no simplemente evoluciona, sino que estalla. Momentos en los que el mundo no avanza por centímetros, sino por eras enteras. La invención de la máquina de vapor transformó la industria. La electricidad re-configuró la vida diaria. El ordenador reabrió los límites de la imaginación. Internet conectaba a la humanidad en un solo pulso digital. Y ahora, la inteligencia artificial ha cruzado el umbral de la herramienta... para ser compañero. De software... a un compañero de trabajo. De la automatización... al motor de las empresas modernas.

Beginning with post-WW2 monitoring devices, Listening In traces an arc through the Cold War era into the present day in which state and commercial spyware can record our calls, copy messages and secretly film us. Exploring how mass audio surveillance is carried out through devices such as smart phones, speakers and baby monitors and used to inform and train AI algorithms, the book provides fresh insights into how we are allowing our personal privacies to be traded for enhanced social connectivity and technological convenience.

Artificial Intelligence is transforming how we work, create, and communicate - but the secret to harnessing its full potential lies in one skill: prompt and context engineering.

Millions of professionals are typing prompts into AI tools and getting back garbage. Generic responses. Hallucinated facts. Outputs so bland they're useless.

Holen Sie das Beste aus Ihren Large Language Models (LLMs) wie ChatGPT, Deepseek, LLaMA, Claude, Midjourney, Stable Diffusion oder anderen Transformer-Modellen heraus, indem Sie die Kunst des Prompt Engineering erlernen. Dieser umfassende Leitfaden bietet Schritt-für-Schritt-Techniken zur Optimierung von KI-Antworten, zur Reduzierung von Verzerrungen und zur Erstellung erstaunlicher Bilder.

Unlock the world of Artificial Intelligence—even if you’ve never written a line of code or opened a tech book before. AI for Beginners: The Ultimate Roadmap is your easy, friendly, and complete guide to understanding AI without confusion or overwhelm.

Create consistent, high-quality content without burnout — even if you’re starting from scratch. The AI Content Machine is a beginner-friendly guide that breaks down how creators, entrepreneurs, and business owners can use artificial intelligence to plan, create, repurpose, and automate social media content efficiently.