検索キーワード： コンピュータサイエンス

Doctor AI: Reimagining Health, Rebuilding Trust, Delivering Health 4.0 offers a bold, system-wide blueprint for transforming healthcare in the twenty-first century. Robin Blackstone, MD, brings decades of clinical, organizational, and policy experience to one of the most urgent questions of our time: how to deliver effective, affordable health at scale.

Written by the author of ChatGPT for Dummies and Generative AI for Dummies, this easy-to-understand tech guide helps you take your first steps into Agentic AI. Get insight into the technologies driving Agentic AI, a road map for shifting from legacy systems to Agentic systems, and a tour of real-world use cases for Agentic AI. This books arms you with an understanding to make better decisions about how and when to use Agentic AI technologies.

Le lancement de ChatGPT, fin 2022, a inauguré le tournant intellectuel et créatif de l'intelligence artificielle. Désormais, il est demandé à des systèmes de prendre le relais de nos facultés les plus fondamentales – en premier lieu celle de produire du langage et des symboles. Comment ne pas saisir l'ampleur des conséquences sociales, culturelles et civilisationnelles induites ? Celles-ci sont principalement de trois ordres. Premièrement, il est mis entre les mains de tous des technologies générant un pseudo-langage, car mathématisé, statistique et standardisé, appelé à devenir hégémonique.

In Untangling AI, founder and Chief AI Officer at Multiplai Tech, Matt Kesby, delivers an incisive roadmap for business leaders interested in assessing where their companies stand in the AI adoption lifecycle and where they want to go. Kesby explains how to rethink your current operational model and how to replace traditional workflows with AI-powered decision-making and execution.

How do our brains give rise to our conscious minds? How do our minds learn and consciously experience miraculous creations of our civilizations, such as visual art, music, and the languages whose meanings enable us to think and communicate about our experiences in the world?

Alive Inside: Unlock Your Leadership Advantage in the Age of AI delivers a groundbreaking leadership framework for reclaiming the distinctly human qualities—compassion, courage, intuition, presence, and storytelling—that keep leaders indispensable in our increasingly automated, AI-driven world. Blending historical narratives, neuroscience insights, and real-world case studies, Emmanuel Gobillot reveals seven practical principles, from authenticity over automation to stories over structures, that will transform listeners' leadership style and energize their organizational culture.

Developed by Tim Lewko, a twenty-five-year strategy veteran, MOVE shows leaders how to embed artificial intelligence (AI) directly into the strategy process and validate strategic bets, pressure-test assumptions, and adapt faster than the competition—all while maintaining control over final decisions.

In 2017, a small crew gathered in a windowless Pentagon room to put AI at the heart of how America makes war. Led by a Marine Corps colonel haunted by the deaths of US troops and prospect of AI-enhanced rivals, the Project Maven team raced to send AI into combat, igniting controversy and forever changing the US military. Summoning the mayhem of a tech startup, the group wrestled Pentagon bureaucrats and each other, enlisted an initially reluctant Silicon Valley, and convinced US forces to deploy little-tested AI systems in hot wars.

You don’t get to opt out of the AI revolution. That decision has already been made for you. Breitbart social media director Wynton Hall asks what other decisions have been made. Today, 99% of Americans use AI—even if most of us don’t realize it. Big Tech is quietly hard-coding left-wing...

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 examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems.

AI is transforming software development, shifting programmers from writing code to collaborating with AI in an intent-driven workflow. Vibe coding—a prompt-first, exploratory approach where you describe what you want in natural language and let a large language model fill in the blanks—represents a radical shift in the developer's role from writing code to directing it. However, vibe coding comes with a serious caveat: Like a high-speed exploratory vehicle, it can take you off the beaten path quickly.

In the 1940s, mathematicians set out to design computers that could act as ideal rational agents in the face of uncertainty. The Irrational Decision tells the story of how they settled on a peculiar mathematical definition of rationality in which every decision is a statistical question of risk. Benjamin Recht traces how this quantitative standard came to define our understanding of rationality, looking at the history of optimization, game theory, statistical testing, and machine learning.

「アメリカ政府機関主催の精度評価テストで世界No.1評価を6回獲得」「マスクで顔の3分の2が隠れていても、ほぼ100%認証が可能」「カバンも財布も持たずに"手ぶら"でどこにでも行ける社会が実現」

Artificial Intelligence is reshaping what is possible across every sector—and public service is no exception. Reimagining Government is a bold, practical playbook for harnessing AI to deliver smarter, faster, and more effective outcomes.

Stop Watching Colleagues Get Ahead With AI While You're Still Struggling With Basic PromptsThe gap between AI-savvy professionals and everyone else is widening daily. Those who master these tools now will dominate their fields for years to come. Those who wait will spend that time catching up."The 30 • Day AI Decoder" is your systematic roadmap from AI confusion to AI mastery—specifically designed for non-technical professionals, entrepreneurs, and creators who need real results, not theory.

A healthcare AI expert examines how artificial intelligence can either undermine or enhance the doctor-patient relationship, offering frameworks to keep medicine human-centered. Subjects to Sovereigns explores what happens when the most powerful AI systems in medicine make decisions about patients who are never really heard? For most of modern medicine, patients have been treated as data points inside someone else’s system. Artificial intelligence risks locking that pattern in forever.

Organizations have invested $30–40 billion in AI. According to MIT (2025), 95% produced no measurable return. Only 5% made it into daily workflows. If you're reading this, you're trying not to become that statistic—or you already are. The problem isn't bad technology. Most AI failures don't begin at scale. They begin during pilots, when early success builds confidence without revealing risks that surface once AI enters real workflows and decisions under pressure.

AI can write your emails, summarize your meetings, and generate your strategy decks. But it cannot tell you which decisions actually matter. Everyone is racing to master AI tools. Almost no one is developing the cognitive capabilities that AI makes more valuable, not less. That gap is about to separate those who lead and succeed from those who get left behind.

AI Stock Analysis for Smarter Trades shows you how to use ChatGPT and modern AI tools to think clearly, analyze objectively, and make better stock decisions—without relying on alerts, hype, or predictions. This book teaches you how to combine fundamentals, market context, and price action into one clean decision-making framework—with AI acting as your assistant, not your crutch.

Hallucinated citations that survived review. Confidentiality breaches that didn't surface until the bar complaint. Malpractice exposure building invisibly, one unexamined AI output at a time. These aren't hypothetical. They're already happening to lawyers who adopted AI without a framework. And the lawyers who made those mistakes weren't careless—they were experienced, diligent, and trying to keep up.