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

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.

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.

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。

「進化は再現不可能な一度限りの現象なのか？　それとも同じような環境条件では同じような適応が繰り返し発生するのか？」進化のあり方をめぐって、進化生物学者の間で20世紀から大論争を繰り広げられてきた命題をめぐるサイエンスミステリー。

When AI expert and investigative 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, the organization was meant, its leader Sam Altman told us, to act as a check against more purely mercantile, and potentially dangerous, forces. What could go wrong?

In 2023, hundreds of AI luminaries signed an open letter warning that artificial intelligence poses a serious risk of human extinction. Since then, the AI race has only intensified. Companies and countries are rushing to build machines that will be smarter than any person. And the world is devastatingly unprepared for what would come next.

Recent breakthroughs in AI have not only increased demand for AI products, they've also lowered the barriers to entry for those who want to build AI products. The model-as-a-service approach has transformed AI from an esoteric discipline into a powerful development tool that anyone can use. Everyone, including those with minimal or no prior AI experience, can now leverage AI models to build applications. In this book, author Chip Huyen discusses AI engineering: the process of building applications with readily available foundation models.

Unlock the potential of Generative AI with this Large Language Model production-ready playbook for seamless deployment, optimization, and scaling. This hands-on guide takes you beyond theory, offering expert strategies for integrating LLMs into real-world applications using retrieval-augmented generation (RAG), vector databases, PEFT, LoRA, and scalable inference architectures. Whether you're an ML engineer, data scientist, or MLOps practitioner, you’ll gain the technical know-how to operationalize LLMs efficiently, reduce compute costs, and ensure rock-solid reliability in production.

The scramble to create superhuman AI has put us on the path to extinction – but it's not too late to change course. Companies and countries are in a race to build machines that will be smarter than any person, and the world is devastatingly unprepared for what will come next. How could a machine superintelligence wipe out our entire species? Will it want to? Will it want anything at all?

Artificial intelligence is no longer a futuristic concept—it is here, reshaping how we live, work, and most importantly, how we heal. AI in Healthcare unveils the revolutionary changes underway as artificial intelligence transforms medicine from the ground up. From early diagnosis to remote monitoring, robotic surgery to mental health chatbots, AI is not just a tool—it’s the new pulse of twenty-first-century medicine.

If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.

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.

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.

The Gene is the story of one of the most powerful and dangerous ideas in our history, from best-selling, prize-winning author Siddhartha Mukherjee. Spanning the globe and several centuries, The Gene is the story of the quest to decipher the master code that makes and defines humans, that governs our form and function. The story of the gene begins in an obscure Augustinian abbey in Moravia in 1856, where a monk stumbles on the idea of a 'unit of heredity'.

史上最怖怪談決定戦！ 関西テレビ「稲川淳二の怪談グランプリ 2014」優勝、 恐い話No.1決定戦「OKOWAチャンピオンシップ」初代王者の”怪談和尚”による「怪談説法」10話を収録しています。

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?

In How To Think About AI, Richard Susskind draws on his experience of working on AI since the early 1980s. For Susskind, balancing the benefits and threats of artificial intelligence is the defining challenge of our age. He explores the history of AI and possible scenarios for its future. His views on AI are not always conventional. He positions ChatGPT and generative AI as no more than the latest chapter in the ongoing story of AI and claims we are still at the foothills of developments.

This book consists of 6 titles, namely: Assembly Language: The Ultimate Guide to Programming and Virtual Machines. Computer Science: The Complete Guide to Principles and Informatics. Cyber Security: Beginners’ Guide to Hacking, Phishing, Social Engineering, and Malware. Databases: System Concepts, Designs, Management, and Implementation. Operating Systems: Concepts to Save Money, Time, and Frustration. Website Development: Web Design Skills for Beginners

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.

'A story so incredible you'd think it was fiction' – James Patterson Winner of the Financial Times/McKinsey Business Book of the Year Award. The shocking true story of the breathtaking rise and collapse of Theranos, the multibillion-dollar biotech startup founded by Elizabeth Holmes, written...