検索キーワード： コンピュータサイエンス

You've tried AI. You typed a prompt, got a generic response you'd never show your boss, and spent more time fixing the output than it would have taken to do the work yourself. The problem isn't the technology, and it isn't you. The problem is simple: this technology is advancing so fast that nobody taught you how to communicate with AI at the level your work demands. Most AI books hand you prompt lists that expire or offer beginner content you could find for free online, instead of teaching you how to "speak machine." The Prompt Hero Method is different.

En Nexus, Harari contempla a la humanidad desde la amplia perspectiva de la historia para analizar cómo las redes de información han hecho y deshecho nuestro mundo. Durante los últimos 100.000 años, los sapiens hemos acumulado un enorme poder. Pero, a pesar de todos los descubrimientos, inventos y conquistas, ahora nos enfrentamos a una crisis existencial: el mundo está al borde del colapso ecológico, abunda la desinformación y nos precipitamos hacia la era de la I.A. Con todo el camino andando, ¿por qué somos una especie autodestructiva?

This book offers an easy-to-follow overview of the capabilities of generative AI and how to incorporate them into any job. It's perfect for anyone who wants to add AI know-how into their work.

This audiobook is narrated by an AI Voice. The terminal used to be the barrier that separated developers from everyone else. Claude Code just changed that. How to Use Claude Code in Terminal is the practical beginner's guide to running AI-powered development work directly from your command...

The difference between growing your business and going out of business is your ability to think strategically. The problem is, most leaders are stuck in the operational weeds, struggling to find the time to make better strategic decisions. This challenge is only heightened by the rise of AI...

Large language models (LLMs) have transformed natural language processing, but deploying them in applications introduces numerous technical challenges. Large Language Models: The Hard Parts offers a clear, practical examination of the limitations developers and AI engineers face when building...

This philosophy-of-programming guide presents a unique and entertaining take on how to think about programming. A collection of twenty-one pragmatic rules, each presented in a stand-alone chapter, captures the essential wisdom that every freshly minted programmer needs to know and provides thought-provoking insights for more seasoned programmers. Author Chris Zimmerman, cofounder of the video game studio Sucker Punch Productions, teaches basic truths of programming by wrapping them in memorable aphorisms and driving them home with examples drawn from real code.

This audiobook is narrated by an AI Voice. Most people who try to make money with ChatGPT fail—not because the tool doesn't work, but because they're using it wrong. How to Use ChatGPT to Make Money Running an Online Business cuts through the viral hype and gives you a complete, practical...

Generative AI: The Insights You Need from Harvard Business Review will help you understand the potential of these new technologies, pick the right Gen AI projects, and reinvent your business for the new age of AI.

Artificial intelligence touches nearly every part of your day. While you may initially assume that technology such as smart speakers and digital assistants are the extent of it, AI has in fact rapidly become a general-purpose technology, reverberating across industries including transportation, healthcare, financial services, and many more. In our modern era, an understanding of AI and its possibilities for your organization is essential for growth and success. Artificial Intelligence Basics has arrived to equip you with a fundamental, timely grasp of AI and its impact. 

Agentic Artificial Intelligence Masterclass 2026 is a practical, beginner-friendly guide to understanding and using the next generation of AI systems. Inside, listeners will learn how AI agents work, how prompt engineering fits into agentic systems, how workflow automation can save time, and how artificial intelligence tools can be used to build smarter business, productivity, and digital systems. This audiobook explains AI agents in a clear, useful way without overwhelming technical language.

Artificial Intelligence Explained: A Beginner’s Guide to AI, Machine Learning, and the Future of Technology is a clear and engaging introduction to the rapidly evolving world of artificial intelligence. Designed for listeners with little to no technical background, this book breaks down complex concepts into easy-to-understand explanations, helping listeners discover how AI works, where it is used, and how it is shaping the modern world.

FEELING LEFT BEHIND BY AI? MASTER GENERATIVE AI IN JUST 7 DAYS—NO TECH BACKGROUND REQUIRED You're not alone—and this audiobook is your fast track to mastering AI in just seven days. You'll go from unsure and overwhelmed to confident, creative, and in control, using AI to spark ideas, save...

The definitive insider's history of the genetic revolution--significantly updated to reflect the discoveries of the last decade. James D. Watson, the Nobel laureate whose pioneering work helped unlock the mystery of DNA's structure, charts the greatest scientific journey of our time, from the...

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...

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

In Fusion Strategy, world-renowned innovation guru Vijay Govindarajan and digital strategy expert Venkat Venkataraman offer a first-of-its-kind playbook that will help industrial companies combine what they do best-create physical products-with what digitals do best-use algorithms and AI to parse expansive, interconnected datasets-to make strategic connections that would otherwise be impossible.

Today’s “machine-learning” systems, trained by data, are so effective that we’ve invited them to see and hear for us―and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem.

There is a robotics revolution underway. A record 3.1 million robots are working in factories right now, doing everything from assembling computers to packing goods and monitoring air quality and performance. A far greater number of smart machines impact our lives in countless other ways—improving the precision of surgeons, cleaning our homes, extending our reach to distant worlds—and we’re on the cusp of even more exciting opportunities.

The dream of a universal translation device goes back many decades, long before Douglas Adams's fictional Babel fish provided this service in The Hitchhiker's Guide to the Galaxy. Since the advent of computers, research has focused on the design of digital machine translation tools - computer programs capable of automatically translating a text from a source language to a target language. This has become one of the most fundamental tasks of artificial intelligence.