検索キーワード： 機械理論・人工知能

Are you still treating AI like a novelty—or are you ready to make it your most powerful business ally? In AI ChatGPT: Prompt Engineering Secrets, Maxwell Cyberstein doesn’t just show you how to talk to artificial intelligence. He teaches you how to think with it, build with it, and grow with it—whether you’re an entrepreneur, marketer, freelancer, or simply someone looking to save time and create with more clarity. This is not another dry tech manual.

Artificial intelligence (AI) is a powerful general-purpose technology that is reshaping the modern economy, but misperceptions about AI stand in the way of harnessing it for the betterment of humanity. In Thrive, Ravi Bapna and Anindya Ghose counter the backlash by showcasing how AI is positively influencing the aspects of our daily lives that we care about most: our health and wellness, relationships, education, the workplace, and domestic life.

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.

For all of neuroscience's advances, we've made little progress on its biggest question: How do simple cells in the brain create intelligence? Jeff Hawkins and his team discovered that the brain uses map-like structures to build a model of the world - not just one model, but hundreds of thousands of models of everything we know. This discovery allows Hawkins to answer important questions about how we perceive the world, why we have a sense of self, and the origin of high-level thought.

Artificial intelligence is smarter than humans. It can process information at lightning speed and remain focused on specific tasks without distraction. AI can see into the future, predicting outcomes and even use sensors to see around physical and virtual corners. So why does Intelligence frequently get it so wrong? The answer is us. Humans design the algorithms that define the way that AI works and the processed information reflects an imperfect world.

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.

Information architecture (IA) is far more challenging - and necessary - than ever. To guide you through this broad ecosystem, this popular guide - now in its fourth edition - provides essential concepts, methods, and techniques for digital design that have withstood the test of time. UX designers, product managers, developers, and anyone involved in digital design will learn how to create semantic structures that will help people engage with your message.

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.

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.

Master Practical AI and Unleash the Power of ChatGPT in Just 7 Days, Even If You're an Absolute Beginner! Are you overwhelmed by Artificial Intelligence and Natural Language Processing? Do you want to leverage ChatGPT but don’t know where to start? You're not alone. Many beginners feel alienated by jargon and technicalities. But what if mastering ChatGPT could be simple, rewarding, and achievable in just 7 days? This beginner-friendly guide is your ticket to overcoming ChatGPT fears and unlocking its full potential.

"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.

In Scaling Responsible AI: From Enthusiasm to Execution, celebrated speaker, AI strategist, and tech visionary Noelle Russell delivers an exciting and fascinating new discussion of how to implement artificial intelligence responsibly, ethically, and profitably at your organization. Responsible AI promises immense opportunity, but unguided enthusiasm can unleash serious risks. Learn how to implement AI ethically and profitably at your company with Scaling Responsible AI.

Large language models (LLMs) are not just shaping the trajectory of AI, they're also unveiling a new era of security challenges. This practical book takes you straight to the heart of these threats. Author Steve Wilson, chief product officer at Exabeam, focuses exclusively on LLMs, eschewing generalized AI security to delve into the unique characteristics and vulnerabilities inherent in these models.

This is what our future looks like: in the next decade, AI will be able to convince us that it’s human. During the 2030s, it will become ‘superintelligent’, vastly outstripping our capabilities by almost every measure. By 2045, it will be possible to connect our brains with these AIs using invisibly small nanotechnologies. Our minds and theirs will merge, expanding our consciousness more profoundly than we can fully comprehend, unlocking possibilities we can barely imagine. This is the singularity.

James Lovelock, creator of the Gaia hypothesis and the greatest environmental thinker of our time, has produced an astounding new theory about future of life on Earth. He argues that the anthropocene - the age in which humans acquired planetary-scale technologies - is, after 300 years, coming to an end. A new age - the novacene - has already begun.

AI & Innovation is a timely, essential book for business leaders, innovation and strategy managers, and executives seeking state-of-the-art guidance on AI and proven best practices for implementation.

Alex Vail took a sabbatical from his job on the board of one of the country's leading manufacturers to conduct several research projects, including the largest ever study into the UK's corporate AI capabilities. In total, he surveyed 234 senior leaders and interviewed 92 executives from FTSE350 companies to identify why digital transformations succeed or fail; the data dependency of organisations; and their levels of data literacy at senior levels.

This comprehensive guide walks you through innovative, AI-powered income strategies using CHAT GPT. From creating online content and automated customer service solutions to personalized business tools, discover how you can leverage the power of Chat GPT to build a sustainable income. Whether you're an entrepreneur, freelancer, or someone looking to future-proof your career, this book offers practical steps and insights to help you succeed in the growing world of AI-driven opportunities. The future of money-making is here, and it's powered by artificial intelligence.

Companies today are moving rapidly to integrate generative AI into their products and services. But there's a great deal of hype (and misunderstanding) about the impact and promise of this technology. With this book, Chris Fregly, Antje Barth, and Shelbee Eigenbrode from AWS help CTOs, ML practitioners, application developers, business analysts, data engineers, and data scientists find practical ways to use this exciting new technology.

Futurists insist that AI will soon eclipse the capacities of the most gifted human mind. What hope do we have against superintelligent machines? But we aren't really on the path to developing intelligent machines. In fact, we don't even know where that path might be. Erik Larson takes us on a tour of the landscape of AI to show how far we are from superintelligence and what it would take to get there.