検索キーワード： 制作 "-- Kevin Wright --" コンピュータサイエンス

Declassified is a raw, thought-provoking conversation that dives straight into the questions shaping our future: intelligence and the limits of the Turing Test, ethics by design, surveillance capitalism, social media’s paradoxes, the future of work, AI-powered warfare, climate risk, love in the age of algorithms, the uncanny valley, the road to AGI, and the futures we might build... or fear.

Your competitors aren’t “experimenting with AI” anymore. They’re wiring agents into support, marketing, and operations and watching work get finished before the coffee cools. AI Agent for Beginners is your fast-track audio playbook for turning ChatGPT, Gemini, and modern agent frameworks into real business leverage—not another toy that dies after the first demo.

Imagine having a digital partner that helps you write, organize, solve problems, plan, create, brainstorm, analyze, and execute faster than you ever could alone. That’s the promise of AI when you use it correctly. Unlocking AI Power breaks everything down simply, clearly, and practically. No jargon. No complexity. Just real skills you can use the same day.

Are you ready to ride the AI wave and build real income from scratch? Whether you're a total beginner or a curious entrepreneur, AI Income Explosion gives you the exact blueprint to launch, scale, and profit — fast. This isn’t theory. It’s a step-by-step guide packed with proven strategies, automation tools, and income systems you can start using today.

Ready to turn ChatGPT into a 24/7 income machine? Whether you're starting from scratch or scaling your digital hustle, ChatGPT Income Empire gives you the exact blueprint to earn fast, automate smart, and grow a sustainable online business using AI.

Nvidia is the darling of the age of artificial intelligence: the company’s chips are powering the generative-AI revolution, and demand is insatiable. For all the current interest and attention, however, Nvidia is not of our time. Founded more than three decades ago in a Denny’s in East San Jose, for years it was known primarily in the then-niche world of computer gaming. In fact, the company’s leather-jacketed leader, Jensen Huang, is the longest-serving CEO in an industry marked by near constant turmoil and failure.

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.

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...

Generative AI: The Insights You Need from Harvard Business Review will help you understand the potential of these new technologies, pick the right Gen AI projects, and reinvent your business for the new age of AI.

The noted inventor and futurist’s successor to his landmark book The Singularity Is Near explores how technology will transform the human race in the decades to come Since it was first published in 2005, Ray Kurzweil’s The Singularity Is Near and its vision of an exponential future have...

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.

Easy to understand and engaging, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you've learned.

性愛、家族愛、推しへの愛……言語哲学のプロが徹底解剖！　この愛の言葉を、AIは理解できるのか？古くから、それはきっと人類が誕生したころから、“愛”という概念、感情は存在している。

AI has acquired startling new language capabilities in just the past few years. Driven by rapid advances in deep learning, language AI systems are able to write and understand text better than ever before. This trend is enabling new features, products, and entire industries. With this book, listeners will learn practical tools and concepts they need to use these capabilities today.

From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.

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.

In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent - really - are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant methods of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought that led to recent achievements.

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.

On balance, will AI help humanity or harm it? AI could revolutionize science, medicine, and technology, and deliver us a world of abundance and better health. Or it could be a disaster, leading to the downfall of democracy, or even our extinction. In Taming Silicon Valley, Gary Marcus, one of the most trusted voices in AI, explains that we still have a choice. And that the decisions we make now about AI will shape our next century.