検索キーワード： コンピュータ・テクノロジー

When longtime AI expert and 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, it was meant, its leader Sam Altman told us, to act as a check against more purely market forces. In exhilarating prose and with unparalleled access to those closest to Sam Altman, Hao recounts the meteoric rise of OpenAI and shows us the sinister impact that this industry is having on society.

From the visionary head of Google's innovative People Operations comes a groundbreaking inquiry into the philosophy of work - and a blueprint for attracting the most spectacular talent to your business and ensuring that they succeed. "We spend more time working than doing anything else in life. It's not right that the experience of work should be so demotivating and dehumanizing". So says Laszlo Bock, former head of People Operations at the company that transformed how the world interacts with knowledge.

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1章　なぜいま、日本の会社はリストラをするのか

In June of 2024, thirty-one years after its founding in a Denny’s restaurant, Nvidia became the most valuable corporation on Earth. The Thinking Machine is the astonishing story of how a designer of video game equipment conquered the market for AI hardware, and in the process re-invented the computer. Essential to Nvidia’s meteoric success is its visionary CEO Jensen Huang, who more than a decade ago, on the basis of a few promising scientific results, bet his entire company on AI.

今、４度目の産業革命が始まろうとしている。牽引役となるのは、ＡＩ（人工知能）だ。

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.

‘Hey, how you doing readers? Adam Buxton here… Let's begin with a recap. No, don't skip it! It's great stuff in the form of a montage of scenes from a film that would certainly revive the flagging fortunes of the cinema were it to be made: The Adam Buxton Story…’ So begins Love You, Bye – Adam Buxton’s wonderful follow up to the bestselling Ramble Book.

Is artificial intelligence going to take over the world? Have big tech scientists created an artificial lifeform that can think on its own? Is it going to put authors, artists, and others out of business? Are we about to enter an age where computers are better than humans at everything? The answer to these questions, linguist Emily M. Bender and sociologist Alex Hanna make clear, is “no,” “they wish,” “LOL,” and “definitely not.” This kind of thinking is a symptom of a phenomenon known as “AI hype.”

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.

In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You’ll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks.

This comprehensive guide walks you through innovative, AI-powered income strategies using CHAT GPT. From creating online content and automated customer service solutions to personalized business tools, discover how you can leverage the power of Chat GPT to build a sustainable income. Whether you're an entrepreneur, freelancer, or someone looking to future-proof your career, this book offers practical steps and insights to help you succeed in the growing world of AI-driven opportunities. The future of money-making is here, and it's powered by artificial intelligence.

T2Vの開発元の株式会社プログマインド代表取締役の 濁川武郷氏にインタビューしています。

Humans have always been good at inventing tools that change the way we live and work—though not always good at adapting to those changes. Consider how the internet has given us instant access to gigabytes of data and yet has made us more distracted. Or how social media has enabled us to be more connected than ever, and yet it can also alienate or isolate us. Will the power of AI create a new era of robotic, impersonal efficiency, or will it catalyze a renaissance, redefining leadership and the world of work?

Penguin Audio presents Life 3.0 by Max Tegmark, read by Rob Shapiro. We stand at the beginning of a new era. What was once science fiction is fast becoming reality, as AI transforms war, crime, justice, jobs and society - and even our very sense of what it means to be human. More than any other technology, AI has the potential to revolutionise our collective future - and there's nobody better situated to explore that future than Max Tegmark, an MIT professor and cofounder of the Future of Life Institute, whose work has helped mainstream research on how to keep AI beneficial.

In Trustworthy AI, award-winning executive Beena Ammanath offers a practical approach for enterprise leaders to manage business risk in a world where AI is everywhere by understanding the qualities of trustworthy AI and the essential considerations for its ethical use within the organization and in the marketplace. The author draws from her extensive experience across different industries and sectors in data, analytics and AI, the latest research and case studies, and the pressing questions and concerns business leaders have about the ethics of AI.

Tech billionaires have decided that they should determine our futures for us. According to Elon Musk, Jeff Bezos, Sam Altman, and more, the only good future for humanity is one powered by technology: trillions of humans living in space, functionally immortal, served by superintelligent AIs. In More Everything Forever, science writer Adam Becker investigates these wildly implausible and often profoundly immoral visions of tomorrow—and shows why, in reality, there is no good evidence that they will, or should, come to pass.

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

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.

The deep-learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep-learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.

Written by an expert who has created systems ranging from DNA scanners to children's toys, this book is ideal for intermediate and experienced programmers, no matter what platform you use. This expanded second edition includes new chapters on IoT and networked sensors, motors and movement, debugging, data handling strategies, and more.