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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.

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.

Most people are baffled by how computers work and assume that they will never understand them. What they don't realize - and what Daniel Hillis' short book brilliantly demonstrates - is that computers' seemingly complex operations can be broken down into a few simple parts that perform the same simple procedures over and over again. Computer wizard Hillis offers an easy-to-follow explanation of how data is processed that makes the operations of a computer seem as straightforward as those of a bicycle.

How will AI evolve and what major innovations are on the horizon? What will its impact be on the job market, economy, and society? What is the path toward human-level machine intelligence? What should we be concerned about as artificial intelligence advances? Architects of Intelligence contains a series of in-depth, one-to-one interviews where New York Times best-selling author Martin Ford uncovers the truth behind these questions from some of the brightest minds in the artificial intelligence community.

This audiobook is masterfully read by the author, Mo Gawdat. One of The Sunday Times' Business Books of the Year Technology is putting our humanity at risk to an unprecedented degree. This book is not for engineers who write the code or the policy makers who claim they can regulate it. This is a...

An exposé of the unprecedented form of power called “surveillance capitalism,” and the quest by powerful corporations to predict and control our behavior “Groundbreaking, magisterial, alarming.” – Financial Times The heady optimism of the Internet’s early days has turned dark...

2024年6月に開催された Appleの開発者向けイベントWWDC2024。話題の中心は Apple Vision Pro、そして Apple intelligence。それらの戦略、技術について、高木利弘、大谷和利が解説する。

In Understanding Artificial Intelligence: Of Minds and Machines, philosopher Patrick Grim traces the story of AI from ancient legends to the neural networks behind today’s breakthroughs. You see how modern systems became so powerful so quickly. You also explore the very meaning of “intelligence,” discovering how modern AI succeeds by drawing on three resources: vast datasets that let systems learn from examples; deep-learning architectures loosely modeled on the brain’s layers; and feedback loops that help models refine their behavior.

When molecular biologist Becky McClain raised urgent alarms about biosafety lapses at her biotech lab at Pfizer, she expected concern—not retaliation. Instead, her warnings about dangerous, genetically engineered viruses that were handled without following standard safety protocols were met with hostility, intimidation, and ultimately, devastating illness after a workplace exposure changed her life forever.

In a world of digital overload and never-ending work demands, Microsoft Copilot stands as a breakthrough in productivity. What once took hours—summarizing reports, formatting presentations, calculating forecasts—can now be done in minutes with precision and personalization. This book is a guide for professionals ready to integrate AI into their daily work, not as a novelty, but as a core tool for speed, clarity, and strategic thinking.

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.

AI is coming fast and will affect every part of a business, including the role of the leader. And up until now, leaders have largely ceded their role in the transformation-pushing determination of strategy out to tech teams and leaving investment decisions with groups that don't have a full view of the organization. Just when responsible leadership is more imperative than ever, leaders are not stepping up to understand and execute in the new world of human-machine collaboration. A generation of AI transformation failures awaits if leaders don't connect their use of AI to their strategies.

The Real Workflows for the AI Era is not another hype-driven guide promising instant riches or “secret prompts.” It’s a builder’s handbook for the new economy—a practical, ethical, and deeply human approach to earning leverage with artificial intelligence. In clear, grounded language, it shows how to turn everyday skills into automated systems that generate real value: workflows that think, write, and produce alongside you.

Take a data-first and use-case-driven approach with Low-Code AI to understand machine learning and deep learning concepts. This hands-on guide presents three problem-focused ways to learn no-code ML using AutoML, low-code using BigQuery ML, and custom code using scikit-learn and Keras. In each case, you'll learn key ML concepts by using real-world datasets with realistic problems.

Five human superpowers give us a unique advantage in a world being taken over by robots and other advanced technology. Learn to harness your superpowers to survive, compete, and thrive in today's advanced world.

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。

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。

The Exciting World of Web 3.0 series is a captivating exploration into the most revolutionary technological shift of our time. This series demystifies the next evolution of the internet, where virtual reality, decentralised systems, and digital ownership redefine how we connect, create, and interact.

By turns fascinating and scary, Artificial Intelligence takes the listener on an amazing journey that covers everything from the habits of ants to the world of the stock market. This edition has been fully updated to take account of the latest developments.

Shannon Vallor makes a wide-ranging, prophetic, and philosophical case for what AI could be: a way to reclaim our human potential for moral and intellectual growth, rather than lose ourselves in mirrors of the past. Rejecting prophecies of doom, she encourages us to pursue technology that helps us recover our sense of the possible, and with it the confidence and courage to repair a broken world. Vallor calls us to rethink what AI is and can be, and what we want to be with it.