検索キーワード： コンピュータ・テクノロジー

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。

情報発信媒体最後のブルーオーシャン！

ポッドキャストの利用者は年々増加傾向にあります。日本人の約4人に1人はポッドキャストを利用していると言われ、その数は増え続けています。

From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.

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. While you know AI is the future, current demands leave you with no time to explore its benefits. Meanwhile, your competition is gaining an edge by integrating AI. The time to act is now.

The dark horse of the New World Order was never Communism, Socialism or Fascism: It has always been Technocracy! Started in the 1930s, re-introduced by the Trilateral Commission in 1973 as the “New International Economic Order,” Technocrats have staged a sweeping coup d’état in plain sight in Washington, DC. during the Trump presidency. The Dark Enlightenment wants to turn us into a monarchy. Tokenization is flipping us into an asset-based economic system where you “will own nothing”. AI is shoving us into a digital Gulag.

スマホを“悪者”にするのは親の無知「プログラミング教室」だけが正解ではないITアレルギーの保護者必読!家庭でできる、デジタル社会で群を抜いて活躍する子の育て方

There are no easy decisions in software architecture. Instead, there are many hard parts—difficult problems or issues with no best practices—that force you to choose among various compromises. With this book, you'll learn how to think critically about the trade-offs involved with distributed architectures. Architecture veterans and practicing consultants Neal Ford, Mark Richards, Pramod Sadalage, and Zhamak Dehghani discuss strategies for choosing an appropriate architecture.

Generative AI has revolutionized how organizations tackle problems, accelerating the journey from concept to prototype to solution. As the models become increasingly capable, we have witnessed a new design pattern emerge: AI agents. By combining tools, knowledge, memory, and learning with advanced foundation models, we can now sequence multiple model inferences together to solve ambiguous and difficult problems. From coding agents to research agents to analyst agents and more, we've already seen agents accelerate teams and organizations.

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。

How can software engineers manage a living codebase that evolves and responds to changing requirements and demands over the length of its life? Based on their experience at Google, software engineers Titus Winters and Hyrum Wright, along with technical writer Tom Manshreck, present a candid and insightful look at how some of the world’s leading practitioners construct and maintain software. This book covers Google’s unique engineering culture, processes, and tools and how these aspects contribute to the effectiveness of an engineering organization.

From making faster, better decisions to automating rote work to enabling robots to respond to emotions, AI and machine learning are already reshaping business and society. What should you and your company be doing today to ensure that you're poised for success and keeping up with your competitors in the age of AI? Artificial Intelligence: The Insights You Need from Harvard Business Review brings you today's most essential thinking on AI and explains how to launch the right initiatives at your company to capitalize on the opportunity of the machine intelligence revolution.

私はどこにでもいるただの会社員です。そんな何者でもない私にTwitterは発信力、影響力を与えてくれました。デジタル資産の重要性がますます高まる中でTwitterなどSNSが個人にあた

Awarded the 2024 Nobel Prize in Economics, Daron Acemoglu and Simon Johnson overturn conventional wisdom about how economies work--revealing the untold story of who wins and who loses the rewards of prosperity--in a work that fundamentally transforms how we look at and understand the world...

An acclaimed New York Times Magazine writer brings us into the world of the controversial technology firm Palantir and its very colorful and outspoken CEO, Alex Karp, tracing the ascent of Big Data, the rise of surveillance technology, and the shifting global balance of power in the 21st century...

In UI/UX Design Essentials 2025–2026, you’ll learn step-by-step how to master Figma, the industry’s leading tool for designing professional apps, websites, and digital products. Whether you're a complete beginner, an aspiring tech professional, or a designer looking to sharpen your skills, this audiobook walks you through exactly what you need to know to succeed.

As data floods into your company, you need to put it to work right away—and SQL is the best tool for the job. With the latest edition of this introductory guide, author Alan Beaulieu helps developers get up to speed with SQL fundamentals for writing database applications, performing administrative tasks, and generating reports. You'll find new chapters on SQL and big data, analytic functions, and working with very large databases.

「もの造り現場」から見た戦略論とは何か、なぜ今の日本に必要なのか。「設計情報」という概念にこだわり、「組織能力」と「アーキテクチャ」というキーワードを柱に現場発の戦略論を提唱する。MOT(マネジメントオブテクノロジー)の大家・藤本隆宏が書いた日本製造業の戦略を考えるのに適した1冊。第1章 迷走した日本のもの造り論

2024年初頭、誰もがミームコインの取引に夢中になっていた頃、Yat Siu氏はもっと大きな変化が来ると予測していた。彼は正しかった。この3部作オーディオブックシリーズで、池田将がYat Siu氏の洞察に迫る。

Large language models (LLMs) and generative AI are rapidly changing the healthcare industry. These technologies have the potential to revolutionize healthcare by improving the efficiency, accuracy, and personalization of care. This practical book shows healthcare leaders, researchers, data scientists, and AI engineers the potential of LLMs and generative AI today and in the future, using storytelling and illustrative use cases in healthcare.