Adobe Lightroom and Photoshop Cc for Photographers 2015
The fastest, easiest, most comprehensive way to learn Adobe Lightroom in conjunction with Adobe Photoshop. Classroom in a Book(R), the best-selling series of hands-on software training workbooks, offers what no other book or training program does-an official training series from Adobe Systems Incorporated, developed with the support of Adobe product experts. Adobe Lightroom CC and Photoshop CC for Photographers Classroom in a Book contains 9 lessons that cover the basics and beyond, providing countless tips and techniques to help you become more productive with the programs. You can follow the book from start to finish or choose only those lessons that interest you. Purchasing this book includes valuable online extras. Follow the instructions in the book's "Getting Started" section to unlock access to: Downloadable lesson files you need to work through the projects in the book Web Edition containing the complete text of the book, interactive quizzes, videos that walk you through the lessons step by step, and updated material covering new feature releases from Adobe Using Lightroom CC and Photoshop CC together can dramatically speed your workflow and decrease editing time. This book teaches you exactly when to use each program and how to pass images back and forth between them at the highest possible quality. You'll learn how to import, organize, correct and add creative color effects in Lightroom using global and local editing tools, as well as how to merge multiple exposures and stitch panoramas. In Photoshop, you'll learn practical techniques for combining photos, pro-level retouching, creating precise selections, masking, turning a photo into a painting and pencil sketch, and adding creative blur effects. Back in Lightroom, you'll learn how to show off your masterpieces by exporting them en masse, sharing via social media, creating fine art-style signed print layouts, slideshows, photo book, and web gallery projects.
Ccna Routing and Switching Icnd2 200-105 Official Cert Guide
Trust the best-selling Official Cert Guide series from Cisco Press to help you learn, prepare, and practice for exam success. They are built with the objective of providing assessment, review, and practice to help ensure you are fully prepared for your certification exam. - Master Cisco CCNA ICND2 200-105 exam topics - Assess your knowledge with chapter-opening quizzes - Review key concepts with exam-preparation tasks This is the eBook edition of CCNA Routing and Switching ICND2 200-105 Official Cert Guide. This eBook does not include the companion CD-ROM with practice exam that comes with the print edition. CCNA Routing and Switching ICND2 200-105 Official Cert Guide presents you with an organized test-preparation routine through the use of proven series elements and techniques. "Do I Know This Already?" quizzes open each chapter and enable you to decide how much time you need to spend on each section. Exam topic lists make referencing easy. Chapter-ending Exam Preparation Tasks help you drill on key concepts you must know thoroughly. CCNA Routing and Switching ICND2 200-105 Official Cert Guide from Cisco Press enables you to succeed on the exam the first time and is the only self-study resource approved by Cisco. Best-selling author and expert instructor Wendell Odom shares preparation hints and test-taking tips, helping you identify areas of weakness and improve both your conceptual knowledge and hands-on skills. This complete study package includes - A test-preparation routine proven to help you pass the exams - "Do I Know This Already?" quizzes, which enable you to decide how much time you need to spend on each section - Chapter-ending and part-ending exercises, which help you drill on key concepts you must know thoroughly - Troubleshooting sections, which help you master the complex scenarios you will face on the exam - A free copy of the CCNA ICND2 200-105 Network Simulator Lite software, complete with meaningful lab exercises that help you hone your hands-on skills with the command-line interface for routers and switches - Links to a series of hands-on config labs developed by the author - Online interactive practice exercises that help you hone your knowledge - More than 50 minutes of video mentoring from the author - A final preparation chapter, which guides you through tools and resources to help you craft your review and test-taking strategies - Study plan suggestions and templates to help you organize and optimize your study time
10th Anniversary Special Issue "PUBMET2023 Conference on Scholarly Communication in the Context of Open Science"
Modeling and Optimization of Complex Engineering Systems under Uncertainties
Application of Big Data Mining, Machine Learning and Artificial Intelligence in Geoscience, 2nd Edition
Security Challenges and Opportunities of Artificial Intelligence/Big Data Scenarios
Applications of Machine Learning and Artificial Intelligence in Modern Power and Energy Systems
Advanced Autonomous Systems and Artificial Intelligence Stage
Hashicorp Terraform Associate Certification (Exam 004), Second Edition
Full Stack Web Development with React, Angular, Node.js, and DevOps
Advanced Topology Optimization
This Reprint presents a curated collection of peer reviewed articles from the Special Issue Advanced Topology Optimization: Methods and Applications published in the journal Computation. It provides an up-to-date overview of recent progress in topology optimization, a computational design methodology that determines optimal material distributions for high performance engineering structures and systems.The contributions in this Reprint reflect the growing maturity of the field and its transition from theoretical development toward practical engineering implementation. The included studies address key topics such as manufacturing aware design, CAD ready structural representation, computational efficiency, and the treatment of multi physics and dynamic problems. Together, they demonstrate how modern topology optimization frameworks are being adapted to meet realistic engineering constraints and industrial design requirements. Covering both methodological advances and application-oriented research, this Reprint highlights current trends that bridge optimization theory with manufacturable and deployable solutions. It serves as a valuable reference for researchers, graduate students, and practicing engineers working in structural optimization, computational mechanics, and advanced engineering design.
Advanced Research on Intelligent Building Construction and Management
The process of rapid urbanization has effectively promoted the development of the construction industry. Growing demands for integrating humanization, diversification, and intelligence have received much attention. Intelligent construction, driven by the emerging technology of artificial intelligence, has become a core force in overcoming industry bottlenecks and accelerating the future transformation of the construction industry. Intelligent construction integrates a series of advanced technologies and involves many areas of expertise, including civil engineering, computer applications, engineering management, mechanical automation, electrical power systems, clean energy, and other fields of knowledge. It should be noted that intelligent construction is inseparable from intelligent operation and maintenance. Effective management methods and operational control strategies significantly enhance the efficiency of the construction industry and support low-carbon development, resulting in comprehensive, coordinated, and sustainable growth. Intelligent construction should consider various factors to obtain a balance between economic and environmental comfort. In response to these demands, this Special Issue has received widespread attention and support. Multidisciplinary research topics are covered in this Special Issue, including prefabricated building design, digital twin engineering, semantic segmentation technology, modal identification, numerical analysis, project management, etc. This Special Issue aims to help intelligent building construction technology realize comprehensive implementation and full utilization.
L'Incertitude Apprivois矇e
L'intelligence artificielle est partout. Dans nos t矇l矇phones, nos d矇cisions m矇dicales, nos recrutements, nos recommandations d'achat. Pourtant, rares sont ceux qui comprennent vraiment ce qu'elle est - et ce qu'elle n'est pas.Ce livre n'est ni un manuel technique, ni un essai alarmiste. C'est une invitation ? comprendre, enfin, ce qui se cache derri癡re les algorithmes. Sans formules, sans jargon, mais sans simplisme.Vous y d矇couvrirez: Comment l'IA transforme l'incertitude en probabilit矇s pour nous aider ? d矇ciderPourquoi elle ne pense pas, mais calcule - et pourquoi cela change toutCe que les r矇seaux de neurones, le deep learning et les grands mod癡les de langage font r矇ellementComment distinguer les promesses cr矇dibles des fantasmes m矇diatiquesLes questions 矇thiques que chaque citoyen et chaque dirigeant devrait se poserDe Pascal et Fermat ? ChatGPT, ce livre retrace quatre si癡cles d'histoire des probabilit矇s et de l'intelligence artificielle. Il s'adresse ? tous ceux - dirigeants, professionnels, 矇tudiants, curieux - qui veulent comprendre avant d'utiliser, et d矇cider en connaissance de cause.L'IA n'est ni magie ni menace. C'est un outil puissant, ? condition de savoir ce qu'il fait vraiment.
Vibe Coding For Beginners
The era of "The Elite Coder" is over.The bar hasn't just been lowered; it's been dismantled and repurposed as a shelf for your energy drinks. Welcome to the world of Vibe Coding, where the only syntax you need to master is the art of "talking to the machine" and having a general aesthetic for how things should look and work.INSIDE THIS BOOK: Who's who of Vibe Coding: The latest tools and platforms that make vibe coding the app development baseline of the future. Prompt Engineering for the Lazy Genius: How to whisper sweet nothings to an AI agent until it spits out a fully functional, profitable web or mobile app. Low Effort, High Reward: The secret sauce to building applications that can turn profits without ever typing a single line of code.The Vibe-to-Value Pipeline: A roadmap for turning a shower thought into a subscription-based goldmine while you're literally taking a nap. If you can describe a sandwich, you can build an app. Stop learning to code and start learning to vibe. This book contains every gritty detail, shortcut, and "cheat code" you need to build applications that actually make money while the traditional developers are still stuck debugging their "Hello World" scripts.
Ethics of AI in Art
What happens when machines start creating art?Is this a revolution in creativity - or a threat to human expression?In Ethics of AI in Art: The Future of Creativity in an AI-Driven World, Javed Shaikh explores one of the most important questions of our time - how artificial intelligence is transforming the world of art, and what it means for artists, creators, and society.With the rise of Generative AI tools like Midjourney and DALL-E, creating stunning visuals has become easier than ever. Many claim that this technology is "democratizing" art - making creativity accessible to everyone. But is it truly fair, ethical, and inclusive?This book takes a deep yet easy-to-understand look at the reality behind these claims.Inside this book, you will discover: How AI image generators actually workThe hidden biases in AI-generated artThe impact of AI on artists' rights and creativityThe truth behind the "democratization of art" claimThe future of creativity in an AI-driven worldThis is not just a book about technology - it's about people, creativity, and ethics.Written in a clear and engaging style, this book is perfect for artists, students, designers, and anyone curious about the future of art and artificial intelligence.If you care about creativity, fairness, and the future of art - this book is for you.
L'Incertitude Apprivois矇e
L'intelligence artificielle est partout. Dans nos t矇l矇phones, nos d矇cisions m矇dicales, nos recrutements, nos recommandations d'achat. Pourtant, rares sont ceux qui comprennent vraiment ce qu'elle est - et ce qu'elle n'est pas.Ce livre n'est ni un manuel technique, ni un essai alarmiste. C'est une invitation ? comprendre, enfin, ce qui se cache derri癡re les algorithmes. Sans formules, sans jargon, mais sans simplisme.Vous y d矇couvrirez: Comment l'IA transforme l'incertitude en probabilit矇s pour nous aider ? d矇ciderPourquoi elle ne pense pas, mais calcule - et pourquoi cela change toutCe que les r矇seaux de neurones, le deep learning et les grands mod癡les de langage font r矇ellementComment distinguer les promesses cr矇dibles des fantasmes m矇diatiquesLes questions 矇thiques que chaque citoyen et chaque dirigeant devrait se poserDe Pascal et Fermat ? ChatGPT, ce livre retrace quatre si癡cles d'histoire des probabilit矇s et de l'intelligence artificielle. Il s'adresse ? tous ceux - dirigeants, professionnels, 矇tudiants, curieux - qui veulent comprendre avant d'utiliser, et d矇cider en connaissance de cause.L'IA n'est ni magie ni menace. C'est un outil puissant, ? condition de savoir ce qu'il fait vraiment.
Managing Post-Quantum Cryptography
Every encrypted transaction your organization relies on today - every financial transfer, patient record, classified message, and identity verification - rests on mathematical assumptions that a sufficiently powerful quantum computer will break. As your manuscript warns, "Every encrypted message your organization sent today rests on a mathematical problem that a sufficiently powerful quantum computer will solve." The threat is no longer theoretical. The algorithms are published. The standards are finalized. Adversaries are already harvesting encrypted traffic to decrypt later.Managing Post-Quantum Cryptography is the essential guide for leaders who must secure their enterprise before the machines catch up. Written for CISOs, IT executives, architects, and modernization leaders, this book explains the quantum threat in clear, accessible terms - without requiring a background in physics or number theory - and provides a complete roadmap for transitioning to quantum-safe cryptography at enterprise scale.Readers will learn why classical encryption has an expiration date, how quantum algorithms break RSA and ECC, and why symmetric encryption survives but must be re-evaluated. The book demystifies the new post-quantum algorithm families, decodes the NIST selections, and explains what they mean for certificates, key exchange, authentication, and long-horizon data protection.This guide equips leaders to: Identify which systems, protocols, and data categories are most at riskConduct a full cryptographic census across keys, certificates, algorithms, and dependenciesImplement hybrid cryptography to bridge classical and post-quantum systemsBuild crypto-agility into enterprise architecture to avoid future forced migrationsPrioritize migration using risk-tiered sequencing and dependency mappingGovern the transition across budget cycles, leadership changes, and vendor ecosystemsProtect long-horizon data from "harvest now, decrypt later" adversariesBuild a workforce and governance model capable of sustaining quantum resilienceThe book includes detailed playbooks, maturity models, migration templates, and decision frameworks that help leaders move from awareness to execution. It shows how to design hybrid deployments, evaluate vendor readiness, integrate new standards, and build monitoring systems that keep the enterprise secure long after the initial migration.Quantum computing will not wait for your organization to be ready. As the book emphasizes, "The window for acting ahead of this threat is open now, but it is not indefinite." This guide gives you the clarity, structure, and operational strategy to secure your enterprise before the machines catch up - and before your encrypted data becomes readable to anyone who has already captured it.If you are responsible for protecting sensitive data in a world racing toward quantum capability, this is the roadmap you cannot afford to postpone.
Data Science Projects Using Python
Python has emerged as one of the most widely used programming languages, especially in the fields of data science, machine learning, and artificial intelligence. With the growing demand for data-driven decision-making and automation, acquiring skills in Python and data science has become essential for students and professionals alike.This book provides a strong foundation in Python programming while gradually introducing core concepts of data science and machine learning. Beginning with Python fundamentals, the book covers data handling using NumPy and Pandas, data preprocessing techniques, and data visualization using Matplotlib. It further introduces supervised, unsupervised, and reinforcement learning concepts using simple and illustrative examples. Each chapter includes exercises to support academic learning, competitive examinations, and interview preparation. The book also features beginner-level, illustrative projects to reinforce practical understanding.By the end of this book, readers will be well-equipped with essential programming skills in Python and a clear understanding of data science workflows. They will be able to analyze data, visualize insights, apply basic machine learning techniques, and solve real-world problems with confidence.WHAT YOU WILL LEARN● Understand core Python programming concepts with practical examples.● Work with NumPy and Pandas data structures efficiently.● Perform data preprocessing and basic data cleaning techniques.● Visualize data effectively using Matplotlib charts and plots.● Learn the fundamentals of supervised and unsupervised machine learning.● Solve real-world problems through beginner-level Python data projects.WHO THIS BOOK IS FORThis book is for beginners, students, and professionals pursuing data science. It requires no prior experience, as it builds skills from scratch for aspiring data analysts, software developers, and researchers seeking a practical Python foundation.
Managing Post-Quantum Cryptography
Every encrypted transaction your organization relies on today - every financial transfer, patient record, classified message, and identity verification - rests on mathematical assumptions that a sufficiently powerful quantum computer will break. As your manuscript warns, "Every encrypted message your organization sent today rests on a mathematical problem that a sufficiently powerful quantum computer will solve." The threat is no longer theoretical. The algorithms are published. The standards are finalized. Adversaries are already harvesting encrypted traffic to decrypt later.Managing Post-Quantum Cryptography is the essential guide for leaders who must secure their enterprise before the machines catch up. Written for CISOs, IT executives, architects, and modernization leaders, this book explains the quantum threat in clear, accessible terms - without requiring a background in physics or number theory - and provides a complete roadmap for transitioning to quantum-safe cryptography at enterprise scale.Readers will learn why classical encryption has an expiration date, how quantum algorithms break RSA and ECC, and why symmetric encryption survives but must be re-evaluated. The book demystifies the new post-quantum algorithm families, decodes the NIST selections, and explains what they mean for certificates, key exchange, authentication, and long-horizon data protection.This guide equips leaders to: Identify which systems, protocols, and data categories are most at riskConduct a full cryptographic census across keys, certificates, algorithms, and dependenciesImplement hybrid cryptography to bridge classical and post-quantum systemsBuild crypto-agility into enterprise architecture to avoid future forced migrationsPrioritize migration using risk-tiered sequencing and dependency mappingGovern the transition across budget cycles, leadership changes, and vendor ecosystemsProtect long-horizon data from "harvest now, decrypt later" adversariesBuild a workforce and governance model capable of sustaining quantum resilienceThe book includes detailed playbooks, maturity models, migration templates, and decision frameworks that help leaders move from awareness to execution. It shows how to design hybrid deployments, evaluate vendor readiness, integrate new standards, and build monitoring systems that keep the enterprise secure long after the initial migration.Quantum computing will not wait for your organization to be ready. As the book emphasizes, "The window for acting ahead of this threat is open now, but it is not indefinite." This guide gives you the clarity, structure, and operational strategy to secure your enterprise before the machines catch up - and before your encrypted data becomes readable to anyone who has already captured it.If you are responsible for protecting sensitive data in a world racing toward quantum capability, this is the roadmap you cannot afford to postpone.
Zero Trust Architecture Guidance
Enterprise security didn't fail because attackers became unstoppable - it failed because organizations kept trusting systems, identities, and networks that no longer deserved it. As your manuscript states, "The perimeter held the entire time. The castle wall never fell. The attacker walked through the front gate." That single insight captures why Zero Trust is no longer optional: the old model of "inside equals safe" has collapsed.Zero Trust Architecture Guidance is the definitive playbook for leaders who must rebuild security from the inside out. Written for CISOs, IT directors, architects, and modernization leaders, this book explains Zero Trust not as a product, but as an organizational transformation that reshapes identity, access, data protection, network design, governance, and culture.Readers will learn why perimeter-based security failed under cloud adoption, remote work, SaaS sprawl, and increasingly sophisticated adversaries. Through vivid scenarios, the book shows how credential harvesting, lateral movement, supply-chain infiltration, and cloud misconfigurations bypass traditional defenses. It reframes Zero Trust as a practical, enforceable architecture built on continuous verification, least privilege, microsegmentation, and the assumption that any part of the environment may already be compromised.This guide equips leaders to: Replace implicit trust with identity-driven, context-aware accessRedesign networks using microsegmentation and east-west traffic controlsImplement data classification, encryption, and access governance that actually workBuild policy engines, control planes, and enforcement points that scaleGovern cloud and hybrid environments with shared-responsibility clarityPrepare for modern threats with telemetry, behavioral analytics, and anomaly detectionStructure security teams around Zero Trust roles and responsibilitiesLead the cultural and organizational shift required for long-term successBuild a continuous, never-finished Zero Trust program that evolves with the threat landscapeThe book includes maturity models, checklists, sequencing guidance, rollout strategies, and real-world architectural patterns for federal, healthcare, and enterprise environments. It shows leaders how to move from whiteboard concepts to production-ready controls - and how to sustain the program long after the initial excitement fades.Zero Trust is not a tool you install; it is the architecture you choose to trust. As the book emphasizes, "Zero trust is an architectural commitment to verifying every interaction, limiting every privilege, and assuming that any segment of your environment may already be compromised."If you are responsible for protecting an enterprise in a world where the perimeter no longer exists, this book gives you the clarity, structure, and roadmap to build a security program that can withstand modern threats - and prove it.
Methods to Improve AI Code Generation
In recent years, transformer-based AI language models have gained prominence due to their powerful capabilities in a variety of tasks including generation of images, video, text and code. Large Language Models (LLMs) exist with parameters counts of a trillion parameters and greater. Such models are proprietary and unavailable for organizations to deploy privately. Even if such deployments were possible, the tremendous resource requirements of LLMs preclude their deployment on infrastructure smaller than enterprise and hyper-scale data centers. Small Language Models (SLMs), with far lower parameter counts of billions or fewer are a viable alternative for use on small servers and edge devices including PCs. While SLMs possess similar generative capabilities as LLMs, the reduction in model size is correlated with a decrease in accuracy when evaluated across a broad range of generative applications, including code generation in multiple languages.To mitigate this shortcoming, an SLM may be fine-tuned with a curated code dataset consisting of code examples in a target programming language. This praxis presents results illustrating how two fine-tuned SLMs variants have been created that improve average accuracy in C++ code generation by more than 9%, and Rust code generation by more than 14%.
From Networks to Smart Devices
From Networks to Smart Devices: Understanding IoT is a comprehensive and beginner-friendly guide designed to introduce readers to the fundamentals of computer networks and the rapidly evolving world of the Internet of Things (IoT). This book covers essential concepts starting from basic networking principles to advanced IoT technologies and real-world applications.It provides a structured learning approach through well-organized units, including topics such as network types, layered models, IoT architecture, sensors and actuators, cloud computing, and IoT case studies in areas like healthcare, agriculture, and smart systems. The content is presented in a clear and easy-to-understand manner, making it ideal for students, beginners, and technology enthusiasts.The book also includes practical examples, diagrams, and exercises to strengthen understanding and application of concepts. It serves as a valuable resource for academic learning as well as skill development in modern networking and smart device technologies.
New Manager AI Handbook
Stepping into management in the AI era isn't just a promotion-it's an identity shift. New managers quickly discover that the skills that made them exceptional individual contributors no longer define success. As your book states, "The skills and identity that earned you this promotion are no longer the ones that will make you successful in it." This handbook gives new and aspiring leaders the clarity, confidence, and systems they need to thrive in a workplace transformed by AI, hybrid teams, and accelerating expectations.The New Manager AI Handbook is the definitive guide for navigating the dual challenge of leading people while leveraging AI to amplify-not replace-human judgment. Drawing from real scenarios, research-backed frameworks, and modern leadership psychology, it equips readers to build trust, communicate with impact, delegate effectively, and make data-informed decisions without losing the human core of leadership.You'll learn how to transition from doing the work to enabling the work-shifting from personal output to team outcomes. You'll understand why new managers often feel disoriented, why old habits pull you back into execution, and how to build the leadership foundation your team needs. As your manuscript explains, "Management is the set of processes... leadership is the set of behaviors... great managers develop both."Inside, readers will discover: A clear roadmap for the first 30, 60, and 90 days-including how to listen deeply, establish credibility, and set the tone for your leadership brand.A modern communication system for hybrid and remote teams, ensuring clarity, alignment, and psychological safety.A complete delegation framework that transforms overwhelmed managers into strategic leaders while developing team capability.AI-powered workflows that reclaim hours each week by automating administrative load so managers can reinvest time into coaching, decision-making, and relationship-building.Research-driven insights on emotional intelligence, trust, conflict resolution, and performance management.A practical blueprint for building a high-performing, future-ready team that adapts to change, embraces innovation, and grows stronger through uncertainty.This book doesn't ask managers to become technologists. It shows them how to become better leaders-leaders who use AI responsibly, ethically, and strategically to elevate human potential. As your text emphasizes, "AI is a force multiplier for managers who already know what good looks like."Whether you're newly promoted, preparing for leadership, or modernizing your approach, this handbook gives you the tools to lead with clarity, confidence, and impact in a rapidly evolving workplace.If you want to become the kind of manager your team deserves-and your organization relies on-this is your playbook for the AI-powered decade ahead.
The Symbiotic Relationship Between FHIR and AI
Most organizations didn't decide to become "AI organizations." It crept up on them. This book is the practical, strategic playbook for leaders who must turn that accidental reality into a deliberate advantage. The Symbiotic Relationship Between FHIR and AI explains why artificial intelligence in healthcare succeeds only when paired with the right data architecture, governance, and human oversight-and it shows exactly how to build those foundations so AI delivers measurable clinical, operational, and financial value.This is not a technical manual for data scientists, nor a marketing brochure for vendors. It is a manager's guide: clear, evidence-based, and relentlessly practical. The book opens by diagnosing the real problem: healthcare produces enormous volumes of data, but that data is fragmented, inconsistently coded, and often inaccessible when decisions must be made. It then makes a simple but powerful claim: FHIR (Fast Healthcare Interoperability Resources) is the missing link that converts scattered clinical records into structured, machine-readable intelligence, and Human-in-the-Loop (HITL) governance is the mechanism that keeps AI aligned with clinical judgment. As the book states, HITL ensures that humans "actively review, validate, override, and improve" AI decisions.Readers will find a concise primer on FHIR's core concepts-Resources, terminology bindings (LOINC, SNOMED CT, RxNorm), and RESTful APIs-paired with actionable guidance on how to prioritize and implement FHIR endpoints across an enterprise. The book explains why legacy standards and document-centric approaches fail modern AI pipelines, and it provides a step-by-step framework for reducing the 3:1 data-preparation burden that typically consumes AI projects. Practical checklists help leaders inventory data assets, map clinical concepts across systems, and set realistic timelines for interoperability work.Security, trust, and governance receive equal attention. The book demystifies OAuth and OpenID Connect in plain language, shows how SMART on FHIR enables an app ecosystem, and lays out governance patterns that scale oversight without creating bottlenecks. Real-world case studies-sepsis prediction, NLP for social determinants, patient matching, and administrative automation-illustrate common failure modes and the concrete fixes that prevent them. Each case ties back to the central thesis: better data and better governance produce safer, more equitable AI.This guide also addresses the human and organizational dimensions of transformation. It explains how to design HITL workflows that protect safety while preserving speed, how to communicate AI's limits to clinicians and patients, and how to build the cultural muscle for interoperability as a strategic capability rather than a compliance checkbox. Leaders will find templates for measuring ROI, prioritizing investments, and aligning technical work with clinical outcomes.If you are responsible for technology strategy, clinical operations, or enterprise data, this book gives you the vocabulary, the frameworks, and the operational playbook to lead intelligent interoperability. It moves beyond hype to the hard work that makes AI reliable in production: data quality, real-time access, standards adoption, and governance. Read it to understand not just what AI can do, but what your organization must become to make AI safe, trustworthy, and transformative.
The Birth of the Augmented Human
The companion volume to The Death of Thinking mapped the problem. This book is the answer.AI is not destroying human capability-but most people are using it in the one way that does. The Birth of the Augmented Human follows a different path: the practitioners who engage their own thinking before opening the tool, who write the paragraph before requesting the structure, who form the hypothesis before consulting the diagnostic. Small choices, made consistently, that compound over months and years into something the dominant path cannot produce.Richard Lowe calls this the augmented human-not a theory about what AI will eventually make possible, but a specific kind of practitioner already working, already building, already producing judgment and originality that cognitive dependency cannot replicate.This is not optimism. The structural forces driving cognitive erosion are real and accelerating. The commercial design of AI tools works against development and for dependency. The education system met AI halfway in the wrong direction. Lowe does not argue that any of this will reverse on a schedule that protects the generation currently developing. The claim is narrower and more defensible: the other path is available, it produces something real, and what it produces is worth the cost.Organized into four parts-the other path, how it gets built, what it makes possible, and the architecture that would make it available to more than the minority who currently seek it-this book is the map. The path is open. Whether you take it is still your question.Part of the Enemies of You series.
Turn Off the TV, Get Off Your Ass, and Do Something
The Ultimate Guide to Digital Detox"I don't watch TV." Four words that made my friend stare at me like I'd grown a second head."But what do you DO?" she asked, unable to imagine life without screens.That question changed everything. Here was an intelligent woman who couldn't conceive of alternatives to entertainment consumption. She'd become so addicted to digital stimulation that real life felt impossible without it.Sound familiar?This book is your escape plan from the attention economy. Written by a reformed digital addict who transformed from professional couch potato to prolific creator, it exposes the sophisticated psychological tricks technology companies use to capture your time and convert it into profit.You'll uncover: The four pillars of digital destruction systematically dismantling human wellbeingHow "pajama professionals" convinced themselves never leaving home is a career strategyWhy your personal echo chamber makes real conversation impossibleThe hidden costs of subscription quicksand and friction-free spendingA step-by-step program to reclaim your time, attention, and lifeThis isn't about becoming a technology hermit. It's about using technology intentionally instead of compulsively-as a tool rather than a replacement for living.Your devices should serve you, not enslave you. Learn the difference.
