検索キーワード： 制作 "--Tyson Hanks" コンピュータ・テクノロジー

Stories brought us together. Books spread our ideas – and our mythologies. The internet promised infinite knowledge. The algorithm learned our secrets – and then turned us against each other. What will AI do? NEXUS is the thrilling account of how we arrived at this moment, and the urgent choices we must now make to survive – and to thrive.

In the newly revised ninth edition of CompTIA Security+ Study Guide: Exam SY0-701, veteran cybersecurity professionals and educators Mike Chapple and David Seidl deliver easy-to-follow coverage of the security fundamentals tested by the challenging CompTIA SY0-701 exam. You'll explore general security concepts, threats, vulnerabilities, mitigations, security architecture and operations, as well as security program management and oversight.

Taiwan achieved inclusive, technology-fueled growth, overcame the pandemic without lockdowns and the infodemic without takedowns, entrusted its people to tackle shared challenges like environmental protection while capitalizing on a culture of innovation to hack the government. Here, the architects of Taiwan's internationally acclaimed digital democracy share the secret of their success. Plurality harnesses digital tools not to replace humans or trust, but to channel the potential energy in social diversity that can erupt in conflict instead for progress, growth and beauty.

This book is for programmers who want to learn JavaScript and for web developers who want to take their understanding and mastery to the next level. It begins by explaining the JavaScript language itself, in detail, from the bottom up. It then builds on that foundation to cover the web platform and Node.js.

What does the rapid rise and astonishing rate of improvement of AI mean for brands in the next five years? Listen to what OpenAI CEO Sam Altman told authors Adam Brotman and Andy Sack when he met them: "It will mean that 95 percent of what marketers use agencies, strategists, and creative professionals for today will easily, nearly instantly, and at almost no cost be handled by AI. No problem." Upon hearing that astonishing statement, the authors began a journey of discovery to understand what the transition to an AI first world would mean.

Easy to understand and engaging, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you've learned.

現在の日本経済を覆っているデフレは、たんなる景気循環による不景気ではない。かつての驚異的な高度成長のベースにあった産業資本主義が形を変え、ポスト産業資本主義に変質しつつある大転換に、日本の「会社」がうまく対応できないために起こっているのだ。日本が二十一世紀を生き抜くためには、産業資本主義時代のまま生き残っている個々の「会社」の仕組みを根本から洗い直し、新しい資本主義にふさわしい形にしていかなければならない。本書は、会社の仕組みを基礎の基礎からやさしく説き起こし、経営者、サラリーマン、そして、これから就職する学生諸氏が、新しい資本主義にふさわしい会社のあり方、新しい働き方を考えるヒントを提供する。第3章　会社の仕組み

ック系のインタビューアーとしても有名な大谷和利氏が、プロフェッショナルなプログラマとして活躍する、中野洋一氏と落合徹氏のお二人をゲストに迎えて、様々な側面からプログラミングのススメを語り合います。

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.

性愛、家族愛、推しへの愛……言語哲学のプロが徹底解剖！　この愛の言葉を、AIは理解できるのか？古くから、それはきっと人類が誕生したころから、“愛”という概念、感情は存在している。

「進化は再現不可能な一度限りの現象なのか？　それとも同じような環境条件では同じような適応が繰り返し発生するのか？」進化のあり方をめぐって、進化生物学者の間で20世紀から大論争を繰り広げられてきた命題をめぐるサイエンスミステリー。

When AI expert and investigative journalist Karen Hao first began covering OpenAI in 2019, she thought they were the good guys. Founded as a nonprofit with safety enshrined as its core mission, the organization was meant, its leader Sam Altman told us, to act as a check against more purely mercantile, and potentially dangerous, forces. What could go wrong?

Noted software expert Robert C. Martin presents a revolutionary paradigm with Clean Code: A Handbook of Agile Software Craftsmanship. Martin has teamed up with his colleagues from Object Mentor to distill their best agile practice of cleaning code “on the fly” into a book that will instill within you the values of a software craftsman and make you a better programmer - but only if you work at it.

In 2023, hundreds of AI luminaries signed an open letter warning that artificial intelligence poses a serious risk of human extinction. Since then, the AI race has only intensified. Companies and countries are rushing to build machines that will be smarter than any person. And the world is devastatingly unprepared for what would come next.

Recent breakthroughs in AI have not only increased demand for AI products, they've also lowered the barriers to entry for those who want to build AI products. The model-as-a-service approach has transformed AI from an esoteric discipline into a powerful development tool that anyone can use. Everyone, including those with minimal or no prior AI experience, can now leverage AI models to build applications. In this book, author Chip Huyen discusses AI engineering: the process of building applications with readily available foundation models.

Meta wants to silence her voice. You can hear her words. 'Devastating . . . funny . . . highly enjoyable . . . A Bridget Jones’s Diary-style tale of a young woman thrown into a series of improbable situations' The Times 'Jaw-dropping . . . A tell-all tome' Financial Times Sarah Wynn-Williams...

見込み客を煽る時代遅れのマーケティングはもう止めにしませんか？

Unlock the potential of Generative AI with this Large Language Model production-ready playbook for seamless deployment, optimization, and scaling. This hands-on guide takes you beyond theory, offering expert strategies for integrating LLMs into real-world applications using retrieval-augmented generation (RAG), vector databases, PEFT, LoRA, and scalable inference architectures. Whether you're an ML engineer, data scientist, or MLOps practitioner, you’ll gain the technical know-how to operationalize LLMs efficiently, reduce compute costs, and ensure rock-solid reliability in production.

The scramble to create superhuman AI has put us on the path to extinction – but it's not too late to change course. Companies and countries are in a race to build machines that will be smarter than any person, and the world is devastatingly unprepared for what will come next. How could a machine superintelligence wipe out our entire species? Will it want to? Will it want anything at all?

New technologies are offering companies, politicians, and others unprecedented opportunity to manipulate us. Sometimes we are given the illusion of power—of freedom—through choice, yet the game is rigged, pushing us in specific directions that lead to less wealth, worse health, and weaker democracy.