検索キーワード： コンピュータ・テクノロジー

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。

In April 1956, a refitted oil tanker carried 58 shipping containers from Newark to Houston. From that modest beginning, container shipping developed into a huge industry that made the boom in global trade possible. The Box tells the dramatic story of the container's creation, the decade of struggle before it was widely adopted, and the sweeping economic consequences of the sharp fall in transportation costs that containerization brought about.

In her new audiobook, Invisible Women, award-winning campaigner and writer Caroline Criado Perez shows us how, in a world largely built for and by men, we are systematically ignoring half the population. She exposes the gender data gap - a gap in our knowledge that is at the root of perpetual, systemic discrimination against women and that has created a pervasive but invisible bias with a profound effect on women’s lives.

기술 혁신보다 중요한 것은 '일하는 방법'의 혁신이다! 가장 중요하지만 아무도 말하지 않는 4차 산업혁명의 본질과 핵심 인공지능, 플랫폼, 블록체인, 증강현실 등이 어느덧 익숙한 말이 됐다. 그래서인지 많은 이들이 이런 새로운 기술을 알면 4차 산업혁명을 제대로 이해하는 것이라고 생각한다. 누구보다 빠르고 정확하게 변화를 감지해야 하는 비즈니스맨조차 4차 산업혁명을 기술적 측면에서만 바라본다. 그러나 급속히 달라지는 비즈니스 생태계에서 승패를 좌우하는 것은 기술 혁신이 아니다. 4차 산업혁명은 100개의 레고 조각을 가지고 놀다가 갑자기 레고 조각이 1억 개로 늘어난 것과 같다. 이런 상황에서는 '노는 방법'을 완전히 달리해야 한다. 스포츠에 비유하자면 야구를 하던 선수들이 농구 선수로 뛰어야 하는 상황이다. 지금까지 9명이 공을 던지고 받는 연습을 하며 정교한 작전을 짰다면, 이제부터는 5명이 몸싸움을 해가며 순발력을 발휘해야 하는 것이다. 그래서 필요한 것이 바로 '일하는 방법의 혁신'이다. 신생 스타트업에서 '유니콘 기업'으로 성장해 기존의 강자들을 위협하고 있는 몇몇 기업을 살펴보면 '일하는 방법을 완전히 바꿨다'는 공통점이 있다.

This is a practical, non-technical guide for business leaders, entrepreneurs, and curious minds. This comprehensive guide on agentic AI cuts through the hype and offers a clear, jargon-free strategic roadmap to understanding and applying this technology. The authors bring a rare perspective, having implemented agentic AI across diverse organizations—from global enterprises to agile startups—witnessing both remarkable successes and sobering failures.

新しいものが世の中に広まり定着する「条件」とは何か．新商品やサービス，新しいアイデアの普及を阻害する「摩擦」の存在，普及を決定づける消費者や企業の個々の選択から，普及する条件を考える．

「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。

This book consists of 6 titles, namely: Assembly Language: The Ultimate Guide to Programming and Virtual Machines. Computer Science: The Complete Guide to Principles and Informatics. Cyber Security: Beginners’ Guide to Hacking, Phishing, Social Engineering, and Malware. Databases: System Concepts, Designs, Management, and Implementation. Operating Systems: Concepts to Save Money, Time, and Frustration. Website Development: Web Design Skills for Beginners

Audible editor Sam Danis delves into spatial audio with Dolby Atmos: what it is, what makes it so immersive, and what the future holds for audio entertainment. Featuring conversations with experts in sound design and production, as well as samples from some of the most unique Audible productions available in Dolby Atmos. Listen in to discover the storytelling magic this innovative technology can offer.

Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, cofounder of Claypot AI, considers each design decision in the context of how it can help your system as a whole achieve its objectives.

A decade ago, developers built information-sharing software by writing a lot of custom code in a single code base, then adding layers of caching. Now we build information systems: interdependent software and services, data platforms, and event streams. Many of our software-to-systems initiatives fail, though, and when they do, we double down on traditional linear approaches. But linear thinking cannot resolve systems challenges. We need to shift to systems thinking.

鉄道ファンのみならず人気の高い「新幹線」をめぐる最新の話題を特集する。

Learning Agile is a comprehensive guide to the most popular agile methods, written in a light and engaging style that makes it easy for you to learn. Agile has revolutionized the way teams approach software development, but with dozens of agile methodologies to choose from, the decision to "go agile" can be tricky. This practical book helps you sort it out, first by grounding you in agile's underlying principles, then by describing four specific - and well-used - agile methods: Scrum, extreme programming (XP), Lean, and Kanban.

Dave Thomas and Andy Hunt wrote the first edition of this influential book in 1999 to help their clients create better software and rediscover the joy of coding. These lessons have helped a generation of programmers examine the very essence of software development. Now, 20 years later, this new edition re-examines what it means to be a modern programmer. Topics range from personal responsibility and career development to architectural techniques for keeping your code flexible and easy to adapt and reuse.

なぜあなたの会社の社員は、生成AIを使わないのか？累計650社以上の導入＆開発支援で得たノウハウを惜しみなく公開！

At most technology companies, you'll reach Senior software engineer, the career level for software engineers, in five to eight years. At the career level, your company's career ladder won't require that you work towards the next promotion; being promoted further is an exception rather than expected. This is also when many engineers are first given an opportunity to move into engineering management.

Throughout history, technological change — whether it takes the form of agricultural improvements in the Middle Ages, the Industrial Revolution, or today’s artificial intelligence — has been viewed as a main driver of prosperity, working in the public interest. The reality, though, is that technology is shaped by what powerful people want and believe, generating riches, social respect, cultural prominence, and further political voice for those already powerful. For most of the rest of us, there is the illusion of progress.

今、何が起きているのか？これからどうなるのか？人工知能とそれを支えるクラウド技術などの進化を長年追い続けてきた著者による、今後10年の社会変革を理解するためのベーシック・レポート

We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning.

Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation. With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice.