検索キーワード： コンピュータ・テクノロジー

Get advice on how to leverage AI development tools for all stages of code creation, including requirements, planning, design, coding, debugging, testing, and documentation. With this book, beginners and experienced developers alike will learn how to use a wide range of tools, from general-purpose LLMs to code-specific systems. You'll also learn about more specialized generative AI tools for tasks such as text-to-image creation. Tom Taulli provides a methodology for modular programming that aligns effectively with the way prompts create AI-generated code.

Winner of the FT and Schroders Business Book of the Year Award Named a Best Book of 2025 by The Economist “Framed as a biography of Jensen Huang, the only CEO Nvidia has ever had, the book is also something more interesting and revealing: a window onto the intellectual, cultural, and economic...

In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art.

In industry after industry, data, analytics, and AI-driven processes are transforming the nature of work. While we often still treat AI as the domain of a specific skill, business function, or sector, we have entered a new era in which AI is challenging the very concept of the firm. AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value.  

Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models.

"Fabulous Adventures in Data Structures and Algorithms" invites you to step off the beaten path and explore interesting, unfamiliar, and even exotic algorithms that will challenge your perspective and elevate your code. Legendary language designer Eric Lippert guides you with a refreshing, conversational approach, providing beautifully practical examples that highlight the recurring patterns behind stubborn coding problems. You'll begin with a fresh look at foundational, thread-safe, and persistent immutable data structures.

複雑に絡み合う産業オートメーションの壁を打ち破り、ゼロからPLC制御やセンサー技術を活用して実践的な自動化システムを構築するための実践知を手に入れましょう。毎日の通勤や学習の時間を最大限に活用して、難解...

A deeply reported biography of Elon Musk by Walter Isaacson, based on two years of shadowing the entrepreneur and interviewing him and his inner circle. It traces Musk’s formative years and obsessive drive, then follows his highest-stakes bets at Tesla, SpaceX, Neuralink, and the acquisition and overhaul of Twitter/X. The book examines his risk-taking, engineering-first leadership, volatile temperament, and the culture he forges around impossible deadlines, offering a nuanced look at the costs and consequences of relentless ambition.

This audiobook is narrated by an AI Voice. An AI girlfriend can make loneliness feel better almost immediately. She listens without interrupting, remembers what you told her, responds whenever you need her and gives you the reassurance real people often cannot. The relief is real. But relief is...

This audiobook is narrated by an AI Voice. You know the feeling. You push a branch after hours of focused work, confident the logic is sound, and minutes later a notification arrives. The build failed, not because of your logic, but because of a missing semicolon in a file you did not touch, a...

Looking at the emergence of generative AI, Language Machines presents a new theory of meaning in language and computation, arguing that humanistic scholarship misconstrues how large language models (LLMs) function. Seeing LLMs as a convergence of computation and language, Leif Weatherby contends that AI does not simulate cognition, as widely believed, but rather creates culture.

昨今発展がめざましい生成AIについて、池田将、林佑磨がその深層に迫る。生成AIの台頭は、特定のタスクごとにモデルを構築していた従来の流れから、共通の基盤モデルと言葉を介して対話する「インターフェースの技術」へのシフトをもたらしました。

日本初！ Claudeビジネス実用書の決定版 ChatGPTでもGeminiでもない。なぜ今、「Claude」なのか？ 日本語の"空気"が読めるAI——。3年・1000時間の実践から生まれた、仕事が変わる決定版ガイド。

This audiobook is narrated by an AI Voice. Your system is working. Every test passes. The dashboard is green. A model refused to answer while the answer sat in front of it, complete and correct, and then invented a data quality problem to justify the refusal, in the register of a careful bug...

This audiobook is narrated by an AI Voice. Six times during this programme, something the author had built reported a confident falsehood. Not one of the six was caught by a check he had written. One of them was the strongest finding in the entire project: a perfect result, every trial, in the...

Renowned ethicist provides essential guide to successfully navigating the future AI landscape In Building a God, Christopher DiCarlo explores the profound implications of artificial intelligence surpassing human intelligence—a destiny that seems not just possible, but inevitable. At this...

What if the greatest danger from artificial intelligence is not what AI wants—but what we want it to do? Much of the fear surrounding artificial intelligence begins with a familiar assumption: as machines become more intelligent, they will eventually develop ambitions of their own. They may seek power, resist human control, protect themselves, or even decide that humanity has become unnecessary. But intelligence is not intention. In How Scary is AI?, Charles Patton examines a distinction that could fundamentally change the way we think about artificial intelligence.

Humanity has reached a critical moment. Our world is unsettled and rapidly changing, and we face existential risks over the next century. Various outcomes - good and bad - are possible. Yet our approach to the future is characterized by short-term thinking, polarizing debates, alarmist rhetoric, and pessimism. In this short, exhilarating book, renowned scientist and best-selling author Martin Rees argues that humanity’s prospects depend on our taking a very different approach to planning for tomorrow.

"Big Data" is on the covers of Science, Nature, The Economist, and Wired magazines, on the front pages of the Wall Street Journal and The New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure.

AI Agents Made Practical: How to Move from One Agent to Full Business Automation is the essential guide for entrepreneurs, business owners, and professionals ready to go beyond the hype and build real, results-driven AI systems. Author Mark Goldberg breaks down the journey from deploying a single AI agent to orchestrating a fully automated business—step by step, without the jargon. Whether you are just getting started or already have one agent running, this audiobook shows you exactly how to scale up intelligently.