検索キーワード： 機械理論・人工知能

As generative AI rapidly moves from the fringes of innovation into the core of modern business operations, organizations must adapt or risk falling behind. Generative AI in the Workplace offers a comprehensive guide to understanding and integrating this transformative technology to drive efficiency, unlock creativity, and reshape the very fabric of workplace culture.

Discover how artificial intelligence can become your daily companion—without the overwhelm. ChatGPT for Beginners Over Fifty is a step-by-step guide designed especially for those who want to explore the power of AI with confidence, creativity, and ease.

Explainable AI is your practical, results-driven guide to building transparent, trustworthy, and human-friendly AI systems. Packed with real-world examples and proven techniques, this book shows you how to turn black-box models into clear, interpretable tools that users can believe in — and regulators can approve.

AI-Powered Assistants is your must-have guide to building, using, and thriving with intelligent virtual agents that think, act, and adapt. Whether you're a business leader looking to boost productivity, a developer eager to build the next-gen assistant, or simply curious about how AI is reshaping our digital lives, this book shows you how to make the most of the AI revolution.

AN INSTANT NEW YORK TIMES BESTSELLER From Wharton professor and author of the popular One Useful Thing Substack newsletter Ethan Mollick comes the definitive playbook for working, learning, and living in the new age of AI Something new entered our world in November 2022 — the first general...

Agentic Artificial Intelligence reveals how to turn today’s AI into your smartest business partner—one that amplifies your decisions, drives innovation, and accelerates results. Written as a clear, actionable roadmap, this audiobook shows you exactly how to work with next-generation, goal-driven AI systems that execute with autonomy and insight.

In 2017, a small crew gathered in a windowless Pentagon room to put AI at the heart of how America makes war. Led by a Marine Corps colonel haunted by the deaths of US troops and prospect of AI-enhanced rivals, the Project Maven team raced to send AI into combat, igniting controversy and forever changing the US military. Summoning the mayhem of a tech startup, the group wrestled Pentagon bureaucrats and each other, enlisted an initially reluctant Silicon Valley, and convinced US forces to deploy little-tested AI systems in hot wars.

Brought to you by Penguin. An instant NEW YORK TIMES bestseller ** A Guardian biggest book of the autumn ** AI is the greatest threat to our existence that we have ever faced. The scramble to create superhuman AI has put us on the path to extinction – but it’s not too late to change course...

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

Brought to you by Penguin. A revelatory portrait of the visionary behind Google DeepMind, the race to control the future – and what it means to win Even in a tech world crowded with visionary leaders, Demis Hassabis is recognized as a special case. Born to working class, immigrant parents in...

Artificial intelligence does the seemingly impossible - driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.

Emily M. Bender e Alex Hanna spiegano perché le tecnologie vendute come "intelligenza artificiale" non sono una magia capace di risolvere ogni problema. L'IA di oggi è fatta di sistemi statistici su larga scala, che producono linguaggio e immagini senza comprenderli ‒ non un'intelligenza pensante ma «pappagalli stocastici». Le autrici ne sfatano i falsi miti e mettono in luce le insidie del loro impiego in ambiti chiave ‒ lavoro, sanità, giustizia, istruzione, scienza, arte e giornalismo.

TikTok has quietly evolved into one of the world's largest e-commerce platforms, where millions of buyers scroll, watch, and purchase in real time every day. Unlike traditional online stores where products sit waiting, TikTok live shopping creates instant urgency, authentic connection, and explosive conversion rates all at once. Smart sellers are going live right now and walking away with thousands of dollars in single sessions, and this book reveals exactly how they do it.

AI doesn't need to be overwhelming, technical, or full of hype. You don't need to learn coding. You don't need to chase every new tool. And you definitely don't need another book filled with buzzwords and theory.

In this provocative, utterly original work of 'scientific fiction', Kai-Fu Lee, the former president of Google China and best-selling author of AI Superpowers, joins forces with celebrated novelist Chen Qiufan to imagine our world in 2041 and how it will be shaped by AI. In 10 gripping short stories, set 20 years in the future, they introduce listeners to an array of eye-opening 2041 settings.

Confused about AI and worried about what it means for your future and the future of the world? You're not alone. AI is everywhere—and few things are surrounded by so much hype, misinformation, and misunderstanding. In AI Snake Oil, computer scientists Arvind Narayanan and Sayash Kapoor cut through the confusion to give you an essential understanding of how AI works, why it often doesn't, where it might be useful or harmful, and when you should suspect that companies are using AI hype to sell AI snake oil—products that don't work, and probably never will.

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.

NEW YORK TIMES BESTSELLER An urgent warning of the unprecedented risks that AI and other fast-developing technologies pose to global order, and how we might contain them while we have the chance—from a co-founder of the pioneering artificial intelligence company DeepMind and current CEO of...

From the New York Times bestselling authors of Abundance, Bold, and The Future Is Faster Than You Think comes a bold exploration of what it means to stay human in a world where technology has granted us godlike power. In 1968, Stewart Brand declared: “We are as gods—and we might as well get...

एक समय थ जब शकत उन लग क पस थ ज कड कर सकत थफर यह उन लग क थ ज गणन कर सकत थअब यह उन लग क ह ज परशन पछ सकत हहम इतहस क पहल यग म ज रह ह जह मनव भष मशन बदधमतत क लए एक सध इटरफस बन गई ह न तर क मधयम स न भर सटकस वल परगरमग क मधयम स न जटल कमड लइन क मधयम स बलक बतचत क मधयम सपरमपट अब कवल एक सधरण नरदश नह हयह वसतकल हयह डजइन हयह एक लवरज हदनय क सबस शकतशल एआई परणलय — ChatGPT, Claude, Perplexity, DeepSeek, Gemini, Lovable — कवल कमड क जवब नह दत व सरचन क वयखय करत ह व इरद क अनमन लगत ह व तरक क अनकरण करत ह व रणनत बनत हऔर एक औसत परणम और एक परवरतनकर परणम क बच क अतर मडल नह हयह परमपट हपरमपट इजनयरग मशन क धख दन क बर म नह ह यह ब

Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library. 

Will AI replace your job—or will it make you indispensable? Artificial intelligence is no longer coming. It’s already here—and it’s quietly rewriting the rules of work. "Surviving AI: Becoming Irreplaceable" is not a book about fear, hype, or futuristic speculation. It is a clear, strategic guide for professionals who want to stay relevant, valuable, and employed in an AI-driven economy. While algorithms automate tasks, eliminate roles, and compress salaries, a smaller group of professionals is moving in the opposite direction—earning more, gaining leverage, and increasing their importance.

La storia di come le reti di informazione hanno fatto e disfatto il nostro mondo, dall’autore del bestseller mondiale Sapiens. Negli ultimi centomila anni, noi Sapiens abbiamo accumulato un enorme potere. Eppure, nonostante tutte le nostre scoperte, invenzioni e conquiste, oggi ci troviamo in una crisi esistenziale. Il mondo è sull’orlo del collasso ecologico. La disinformazione dilaga. E ci stiamo buttando a capofitto nell’era dell’intelligenza artificiale, una nuova rete di informazioni che minaccia di annientarci. Perché siamo così autodistruttivi?

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.

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.

Transform your game development process with the power of artificial intelligence and create immersive gaming experiences that captivate players. Whether you're an indie game developer working solo or a programming student exploring cutting-edge technology, this comprehensive guide reveals how AI is revolutionizing modern game creation from concept to launch. Discover practical techniques for implementing machine learning in game development, from intelligent NPC behavior systems to procedural content generation that creates infinite worlds.

In 2026, the barrier between digital intent and physical reality has dissolved. Through the lens of your phone, I can now see the messy drawer you’re trying to organize or the engine part you’re trying to fix. With the Nano Banana engine, I don't just "guess" what you want to see—I think through the composition with you. This book is a roadmap to this new world. It explores the transition from "Chatbots" to "Personal Intelligence Layers"—systems that don't just answer questions, but anticipate needs across your Gmail, Docs, and your physical surroundings. Whether you are a creator using Veo 3.

ChatGPT for Social Media 101: Create, Schedule, and Scale Content for TikTok, YouTube, LinkedIn, and Instagram is your practical blueprint for turning AI into your most reliable content assistant. Whether you're a business owner, creator, freelancer, or side hustler, this audiobook shows you how to consistently produce high-quality content—without burning out. You’ll learn how to use ChatGPT to generate scroll-stopping hooks, engaging captions, short-form video scripts, long-form content outlines, and platform-specific messaging tailored for TikTok, YouTube, LinkedIn, and Instagram.

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...

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.

■因果を求めない人工知能の世界 先日、人工知能に関する事業をしている人と合う機会がありました。 僕の会社が展開している採用系のサービスでも、人工知能などを用いることで、 マッチング部分でもっと手間を省いた方が絶対にいいと思っている。会社側がどういった人を求めているのか、応募者がどういった会社を望んでいるのかっていうことは、履歴書にたくさん文章を書けば伝わる問題でもないから。 もちろん最後は人間が面談することが必要なんだけど、その手前で機械ができる ことの精度を高められれば、可能性が広がるんじゃないかな。 例えばビッグデータやディープラーニング。これらは、今のトレンドといっちゃ あトレンドです。大量のデータを処理することで、あらゆることの確率が表で表 せるようになる。」(本文より) 家入一真　「家入学級」はこちらから→ http://yakan-hiko.com/ieiri.html

A "fascinating book" that will revolutionize our understanding of the brain and the future of AI (Financial Times) For all of neuroscience's advances, we've made little progress on its biggest question: How do simple cells in the brain create intelligence? Jeff Hawkins and his team discovered...

Information architecture (IA) is far more challenging - and necessary - than ever. To guide you through this broad ecosystem, this popular guide - now in its fourth edition - provides essential concepts, methods, and techniques for digital design that have withstood the test of time. UX designers, product managers, developers, and anyone involved in digital design will learn how to create semantic structures that will help people engage with your message.

How will AI change our world within twenty years? A pioneering technologist and acclaimed writer team up for a “dazzling” (The New York Times) look at the future that “brims with intriguing insights” (Financial Times) A BEST BOOK OF THE YEAR: The Wall Street Journal, The Washington Post...

Researchers, developers, business leaders, policy makers, and others are expanding the technology-centered scope of artificial intelligence (AI) to include human-centered AI (HCAI) ways of thinking. This expansion from an algorithm-focused view to embrace a human-centered perspective can shape the future of technology to better serve human needs. The remarkable progress in algorithms for machine and deep learning have opened the doors to new opportunities, and some dark possibilities.

Drawing from her experience at Google and Meta, Dr. Marily Nika delivers the definitive guide for product managers building AI and GenAI powered products. Packed with smart strategies, actionable tools, and real-world examples, this book breaks down the complex world of AI agents and generative AI products into a playbook for driving innovation to help product leaders bridge the gap between niche AI and GenAI technologies and user pain points. 

Businesses that want to stay competitive know that AI has become a crucial technology—and so do their employees looking to grow their careers. Earning Microsoft's AI-900: Azure AI Fundamentals certification proves your proficiency with foundational AI concepts. This study guide equips you with the knowledge needed to pass the AI-900 exam, whether you're an IT professional, a data analyst, or a student looking to break into the AI field.

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.

From the Industrial Revolution to the age of artificial intelligence, The Technology Trap takes a sweeping look at the history of technological progress and how it has radically shifted the distribution of economic and political power among society’s members.