検索キーワード： コンピュータサイエンス

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.

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.

That's not a hypothetical. It's exactly how Amazon Web Services (AWS) scaled to $107 billion, and it's how Fortune 500 companies are winning today. This book shows you how. You're likely facing these challenges: AI pilots stuck in demo mode, consultants selling slideware, and mounting board pressure. Technology debt is bleeding your budget and slowing your team. You need a proven approach, not more theory.

Personal AI agents, systems that perceive, decide, and act on your behalf, are no longer enterprise technology. They are available to any professional with a laptop and the right framework. The Agentic Workflow Book is the definitive step-by-step guide to deploying your own AI agent stack: an Inbox Governor that triages email overnight, a Calendar Architect that protects your deep-work hours, a Content Ghostwriter that publishes in your voice, and a Research Agent that delivers daily industry intelligence before your first meeting.

Bridges the gap between AI and neuroscience by telling the story of how the brain came to be. 'I found this book amazing' Daniel Kahneman, Winner of the Nobel Prize in Economics and bestselling author of Thinking Fast & Slow The entirety of the human brain’s 4-billion-year story can be...

From product design and financial modeling to performance management and hiring decisions—artificial intelligence and machine learning are becoming everyday tools for managers at businesses of all sizes. But the rewards of every AI system come with risks—and if you don't understand how to make sense of them, you're not going to make the right decisions. Whether you want to get up to speed quickly, could just use a refresher, or are working with an AI expert for the first time, HBR Guide to AI Basics for Managers will give you the information and skills you need.

With this beginner’s handbook, you’ll learn how to use ChatGPT efficiently and create maximized results. Create natural, human-like conversations, being aware of its limitations and biases, and prepare for the artificial intelligence future.

In Artificial You, Susan Schneider says that it is inevitable that AI will take intelligence in new directions but urges that it is up to us to carve out a sensible path forward. As AI technology turns inward, reshaping the brain, as well as outward, potentially creating machine minds, it is crucial to beware. Homo sapiens, as mind designers, will be playing with "tools" they do not understand how to use: the self, the mind, and consciousness.

"This colorful page-turner puts artificial intelligence into a human perspective. Through the lives of Geoff Hinton and other major players, Metz explains this transformative technology and makes the quest thrilling." —Walter Isaacson, author of The Code Breaker Recipient of starred reviews in...

* *For examples of apps I've made look up "Decoded Faith Bible Study" and "Learn AI for Digital Marketing" by Brittany Johnson. **You’ve had the idea. Maybe you even Googled how to build an app… and immediately felt stuck. You don’t know how to code. You don’t have a technical background. And everything online makes it feel more complicated than it actually needs to be. This is where that changes. From Idea to App shows you how to take what’s in your head and turn it into a real, working app using AI—without learning how to code, hiring a developer, or spending thousands of dollars.

The AI Product Playbook: Strategies, Skills, and Frameworks for the AI-Driven Product Manager, by Dr. Marily Nika and Diego Granados, is a practical resource designed to empower product managers to effectively build, launch, and manage successful AI-powered products. This playbook bridges the gap between artificial intelligence theory and real-world product management, offering actionable learnings tailored to non-technical professionals. 

AI & Innovation: How to Transform Your Business and Outpace the Competition with Generative AI is an expert blueprint on shaping and scaling the AI ecosystem of the future, revealing frameworks already tested and implemented at leading companies including Siemens, GE, and Microsoft. This book...

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.

A New York Times Bestseller Super Agers is a detailed guide to a revolution transforming human longevity. This is a breakthrough moment in the history of human health care. The person making that bold claim is one of the most respected medical researchers in the world, Eric Topol. Dr. Topol’s...

In this updated and expanded edition of Human + Machine—including a new chapter on gen AI—Daugherty and Wilson show that the essence of the AI paradigm shift is the transformation of all business processes within an organization, whether related to breakthrough innovation, everyday customer service, or personal productivity habits. As humans and smart machines collaborate ever more closely, work processes become more fluid and adaptive, enabling companies to change them on the fly—or completely reimagine them.

Generative AI is rewriting the rulebook with its seemingly endless capabilities, from crafting intricate industrial designs, writing computer code, and producing mesmerizing synthetic voices to composing enchanting music and innovating genetic breakthroughs. In Generative AI in Practice, renowned futurist Bernard Marr offers listeners a deep dive into the captivating universe of GenAI. This comprehensive guide introduces you to the basics of this groundbreaking technology and outlines the profound impact that GenAI will have on business and society.

Vaccines: Mythology, Ideology, and Reality tells the story of this technology and the celebrated men who developed it with some success, but also with failures that are never mentioned in the celebratory literature on vaccines. Vaccine advocates often proclaim that they “follow the science,” but most vaccine development has been a matter of guesses, gambles, and wild experimentation. Its key figures have been biased by religious faith, wishful thinking, ideology, and a desire for recognition and money.

In The Tech Coup, Marietje Schaake explains how technology companies crept into nearly every corner of our lives and our governments. She takes us beyond the headlines to high-stakes meetings with human rights defenders, business leaders, computer scientists, and politicians to show how technologies have gone from being heralded as utopian to undermining the pillars of our democracies.

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.

Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.