検索キーワード： 機械理論・人工知能

Written by bestselling author Tom Davenport and Deloitte's Nitin Mittal, All-In on AI looks at artificial intelligence at its cutting edge from the viewpoint of established companies like Anthem, Ping An, Airbus, and Capital One. Filled with insights, strategies, and best practices, All-In on AI also provides leaders and their teams with the information they need to help their own companies take AI to the next level.

The ability to hack AI and the technology industry's lack of effort to secure it is thought by experts to be the biggest unaddressed technology issue of our time. Hacking Artificial Intelligence sheds light on these hacking risks, explaining them to those who can make a difference. This book is the first-ever layman's guide to the new world of hacking AI and introduces the field to thousands of people who should be aware of these risks. From a security perspective, AI is today where the internet was thirty years ago. It is wide open and can be exploited.

Will AI lead to the transformation of society as we know it, or bring about its destruction?

This audiobook is masterfully read by the author, Mo Gawdat. One of The Sunday Times' Business Books of the Year Technology is putting our humanity at risk to an unprecedented degree. This book is not for engineers who write the code or the policy makers who claim they can regulate it. This is a...

Artificial intelligence is the secret behind the big ones like Google, Facebook, Amazon, and we all know that. But it can also be a powerful tool in your own hands. With this audiobook, you will prepare the ground for your future success, either if you want to start up your own AI enterprise, apply your knowledge to your current business, or find a job at the greatest and most innovative companies. If programming will open you many doors, Python programming will open you even more.

In this book, Hod Lipson and Melba Kurman offer listeners insight into the risks and benefits of driverless cars, and a lucid and engaging explanation of the enabling technology. Recent advances in software and robotics are toppling long-standing technological barriers that for decades have confined self-driving cars to the realm of fantasy. A new kind of artificial intelligence software called deep learning gives cars rapid and accurate visual perception. Human drivers can relax and take their eyes off the road.

The deep-learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep-learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.

In Artificial Unintelligence, Meredith Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems. We are so eager to do everything digitally - hiring, driving, paying bills, even choosing romantic partners - that we have stopped demanding that our technology actually work. Broussard, a software developer and journalist, reminds us that there are fundamental limits to what we can (and should) do with technology.

This audiobook’s content and entertaining style will appeal equally to science-fiction enthusiasts and scholars, including cognitive and neuroscientists, as well as philosophers of mind. It is a refreshing romp through the science and science fiction of consciousness.

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.

Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a truly robust artificial intelligence. Despite the hype surrounding AI, creating an intelligence that rivals or exceeds human levels is far more complicated than we...

In Silicon Empires, Nick Srnicek explores the geopolitical economy of artificial intelligence, revealing how a handful of powerful corporations and states are engaged in a monumental struggle to control its future. Srnicek moves beyond the headlines to lay bare the elaborate strategies that these silicon empires—from tech giants to great powers—are deploying to capture the immense value of AI.

Artificial intelligence is one of the most significant technological developments of recent times, with the possibility to reshape society as we know it. In this engaging volume, the author explains the cutting-edge science behind artificial intelligence models as well as the philosophical implications in simple and accessible language.

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. 

In this advisedly optimistic book, Rewiring Democracy, security technologist Bruce Schneier and data scientist Nathan Sanders cut through the AI hype and examine the myriad ways that AI is transforming every aspect of democracy—for both good and ill. The authors describe how the sophistication of AI will fulfill demands from lawmakers for more complex legislation, reducing deference to the executive branch and altering the balance of power between lawmakers and administrators

Take a data-first and use-case-driven approach with Low-Code AI to understand machine learning and deep learning concepts. This hands-on guide presents three problem-focused ways to learn no-code ML using AutoML, low-code using BigQuery ML, and custom code using scikit-learn and Keras. In each case, you'll learn key ML concepts by using real-world datasets with realistic problems.

Este libro está diseñado para el profesional moderno que reconoce que la IA no está aquí para reemplazar la experiencia humana, sino para amplificarla. Ya sea que sea un CEO que busca optimizar la toma de decisiones, un consultor que busca mejorar los resultados de los clientes o un empresario que construye la próxima gran cosa, Claude puede servir como su socio inteligente para lograr el éxito profesional.

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 inside story of Lean, a computer program that answers the age-old question: How do you know if something is true? It began as an obscure bug-checking program at Microsoft Research developed by a lone computer engineer named Leo de Moura. Then an unlikely crew of mathematical misfits caught...

The productivity revolution is here, and most people are missing it. While others treat ChatGPT-5 like a fancy search engine, smart entrepreneurs and creators are using it to reclaim 15-20 hours per week through systematic automation. This isn't about getting better answers—it's about delegating entire workflows to an AI collaborator that never sleeps, never forgets, and gets smarter every day.

As tech products become more prevalent today, the demand for machine learning professionals continues to grow. But the responsibilities and skill sets required of ML professionals still vary drastically from company to company, making the interview process difficult to predict. In this guide, data science leader Susan Shu Chang shows you how to tackle the ML hiring process. She'll take you through the highly selective recruitment process by sharing hard-won lessons she learned along the way.

AI-Powered Social Media Marketing 2026 gives you a step-by-step blueprint for this new era. This isn’t theory, it’s practical, actionable, and built for creators, marketers, and business owners who want real results.

Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete...

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 New Science of Customer Relationships: Delivering the One-to-One Promise with AI is a science-based and insightful new approach to integrating the latest generative AI technologies into your company's customer communications. Analytics and marketing experts Thomas Davenport and Jim Sterne walk you through the technology and tools you need to understand, the data you need to collect, the processes you need to implement, and the ethics you need to observe to build an industry-leading customer relationship framework.

The Secure Vibe Coding Handbook by Taimur Ijlal is the essential guide you've been waiting for. Imagine building tools, scripts, and SaaS products at 10x the speed, without sacrificing your security principles. This book is your blueprint for surviving-and thriving-in the age of vibe coding. Written by Taimur Ijlal, a 20-year cybersecurity veteran and AI security educator, The Secure Vibe Coding Handbook gives you the knowledge, mindset, and frameworks you need to stay secure, fast, and future-ready.

Factories create massive amounts of data from IoT sensors, MES, SCADA, quality systems, supply chain, maintenance, and others. Yet most organizations can’t turn it into decisions fast enough. The result is reactive firefighting and AI pilots that stall. The Unified Manufacturing Data Architecture (UMDA) is a practical framework built for industry, not adapted from IT. It shows you how to handle real-time streams, integrate legacy systems, enforce security, and scale AI across sites.

Ready to trade like it's the future? Feeling overwhelmed by stock trading, algorithms, or all the AI hype? This beginner-friendly guide shows you exactly how to use ChatGPT, AI tools, and smart automation to start trading like a pro—with zero fluff and actionable steps that work. AI isn’t coming. It’s already here—learn how to use it to your advantage! From building custom stock screeners with ChatGPT to using bots and backtesting tools, this book gives you the blueprint to trade smarter, manage risk, and actually understand what you’re doing.

In this compelling and balanced book, Mark Coeckelbergh reveals the key risks posed by AI for democracy. He argues that AI, as currently used and developed, undermines fundamental principles on which liberal democracies are founded, such as freedom and equality. How can we make democracy more resilient in the face of AI? And, more positively, what can AI do for democracy?

This book now comes with a FREE VIDEO COURSE: ChatGPT for Beginners! Do you want an easy guide to understanding AI? Curious about the hype around generative AI? Looking for ways to use ChatGPT, MidJourney for business & personal gain? If you find yourself nodding in agreement, then this book is exactly for you! Amazon bestselling author & AI Consultant David M. Patel is going to show you everything you need to know become an expert user of artificial intelligence & generative AI.