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

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. The book addresses real-life problems faced by practitioners on a daily basis and explains scientifically sound solutions using math, supported by code and examples.

In this audiobook, machine learning expert Ethem Alpaydin offers a concise overview of the subject for the general listener, describing its evolution, explaining important learning algorithms, and presenting example applications. Alpaydin offers an account of how digital technology advanced from number-crunching mainframes to mobile devices, putting today's machine learning boom in context.

This gripping narrative explores today's scientific pursuit of immortality, with exclusive visits inside Silicon Valley labs and interviews with the visionaries who believe we will soon crack into the aging process and cure death. We live in an age when billionaires are betting their fortunes on laboratory advances to prove aging unnecessary and death a disease that can be cured.

We live in an incredible period in history. The computer revolution may be even more life-changing than the Industrial Revolution. We can do things with computers that could never be done before, and computers can do things for us that could never be done before. But our love of computers should not cloud our thinking about their limitations. The AI Delusion explains why we should not be intimidated into thinking that computers are infallible, that data-mining is knowledge discovery, and that black boxes should be trusted.

Behind the familiar surfaces of the telephone, radio, and television lies a sophisticated and intriguing body of knowledge known as information theory. This is the theory that has permitted the rapid development of all sorts of communication, from color television to the clear transmission of photographs from the vicinity of Jupiter. Even more revolutionary progress is expected in the future.

Artificial intelligence powers Google's search engine, enables Facebook to target advertising, and allows Alexa and Siri to do their jobs. AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues.

Artificial Intelligence for Dummies is the ideal starting point for anyone seeking a deeper technological understanding of how artificial intelligence works and what promise it holds for the future.

The debate over whether the Net is good or bad for us fills the airwaves and the blogosphere. The real question is, do we direct technology, or do we let ourselves be directed by it and those who have mastered it?

Expanded and extended, this new edition of ChatGPT For Dummies covers the latest tools, models, and options available on the popular generative AI platform. You'll learn best practices for using ChatGPT as a text and media generation tool, research assistant, and content reviewer. If you're new to the world of AI, you'll get all the basic know-how needed to add ChatGPT to your professional toolbox. And if you've been doing the genAI thing for a while already, this book will sharpen your skills as you apply AI to real-world projects in an ethical manner.

Artificial intelligence is everywhere—powering news feeds, curating search results, and invisibly steering our lives. We talk to it and, increasingly, it talks back. And sometimes, its answers seem eerily smart, until they don't.

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.

"AI for Educators" will empower you to: 1) Navigate the ethical maze of AI with confidence and grace. 2) Prepare your students for jobs that don't even exist yet. 3) Become the cool teacher who "gets it" in the eyes of your tech-savvy students.

This cutting-edge guide not only shows how AI is transforming our careers, lives, businesses, and more, but also provides easy, actionable steps to make AI work for us.

Accomplished entrepreneur and AI strategist Vineet Vashishta delivers an engaging and insightful new take on making the most of data, artificial intelligence, and technology at your company. You'll learn to change the culture, strategy, structure, and operational framework of your company to take full advantage of disruptive advances in tech. The author explores fascinating work being undertaken by firms in the real world, as well as high-value use cases and innovative projects and products made possible by realigning organizational frameworks using the capabilities of new technologies.

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。

The first time I used a computer, it intrigued me to know how these interfaces work. In this audiobook, you’ll learn the same way I did.

This book breaks through both the hype and the doom-and-gloom surrounding automation and the deployment of artificial intelligence-enabled—“smart”—systems at work. Management and technology experts Thomas Davenport and Steven Miller show that, contrary to widespread predictions, prescriptions, and denunciations, AI is not primarily a job destroyer. Rather, AI changes the way we work—by taking over some tasks but not entire jobs, freeing people to do other, more important and more challenging work.

In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go deeper, examining the most basic unit of analysis: the decision. The authors explain that the two key decision-making ingredients are prediction and judgment, and we perform both together in our minds, often without realizing it.

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.

The world of “deep tech” has launched seven simultaneous global revolutions: artificial intelligence, augmented and virtual reality, blockchain and cryptocurrencies, the Internet of Things, autonomous vehicles, 3D printing, and quantum computing - a perfect storm that will drive the global economy for the next decade, to the tune of over $100 trillion. Deep Tech outlines the promise (and potential perils) hidden within each of these emerging technology revolutions, all poised to explode into the mainstream market.