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Category: "Artificial Intelligence"

Artificial Intelligence

  1. Mathematical Modeling in Robotics   and Artificial Intelligenc    VOL-1

    The future of robotics lies in adaptability — machines that learn from their surroundings and optimize their actions dynamically. With advances in quantum computing, neural hardware, and real-time AI systems, the mathematical models explored in this book will form the foundation for the next generation of intelligent machines.From autonomous drones to AI-driven robotic surgeons, the applications are endless, and all of them depend on the same universal principles — mathematics and intelligence.This book will help its readers not only understand these principles but also innovate upon them.

  2. Pensare con gli LLM, The Right Way
    Pensare con gli LLM, The Right Way
    Potenziamo il pensiero critico usando l'AI generativa senza farci usare
    Francesco Fullone

    «L'AI mi ha confermato X» usato come prova di X. Output che suonano brillanti ma non reggono a una rilettura severa. Una "AI policy" di tre pagine che nessuno legge. Suona familiare? "Pensare con gli LLM the Right Way" è il sistema di pensiero critico applicato agli LLM: il Triangolo del Pensare-Con (Intento / Avversario / Editore), le quattro decisioni meta di governance, le pratiche socratica e avversariale per indagare e verificare. Non prompt engineering: il metodo per non farsi rispecchiare.

  3. Master Guide to Cyber Security
    Master Guide to Cyber Security
    A Comprehensive Enterprise Cybersecurity Blueprint for Modern Organisations
    TW

    Modern cybersecurity is no longer just about firewalls and antivirus. It is about architecture, governance, secure software delivery, cloud resilience, Zero Trust, AI security, and operational discipline.The Master Guide to Cyber Security brings these domains together into one practical enterprise-focused reference designed for modern security professionals, architects, engineers, and technology leaders.Built around real-world frameworks, secure-by-design principles, and current threat realities, this guide provides a structured roadmap for building secure systems in cloud-native and enterprise environments.

  4. ANSE-AI Native Software Engineering
    ANSE-AI Native Software Engineering
    A forward looking software engineering methodology
    Rajesh R.V.

    You adopted the agents. You kept the process. That is why it feels broken. AI agents do not need a better workflow. They need a methodology designed for them - one that starts before the first line of code and ends only when the system signals that something needs to change. ANSE is that methodology. Nine pillars. One unbroken loop. The next evolution of AI influenced development - Smarter not just Faster.

  5. Ai-powered   entrepreneurship
    Ai-powered entrepreneurship
    Innovate scale and lead the feature
    Anshuman Mishra

    The AI revolution presents one of the most significant entrepreneurial frontiers in history. Yet, technology alone will not define the leaders of tomorrow—it will be the fusion of innovation, strategic execution, ethical responsibility, and visionary leadership.“AI-Powered Entrepreneurship: Innovate, Scale, and Lead the Future” invites you to become part of this transformation. Whether you are crafting your first business plan or steering a scaling enterprise into new AI-driven markets, the knowledge, frameworks, and tools within this book will equip you to make informed decisions, seize emerging opportunities, and contribute meaningfully to the evolving global economy.

  6. Research Methodology in Artificial Intelligence, Machine Learning, and Data Science
    Research Methodology in Artificial Intelligence, Machine Learning, and Data Science
    a comprehensive guide for students and researchers from fundamental to advanced research practices
    Anshuman Mishra

    A Sample Learning Journey with This Book Imagine a final-year MCA student who needs to select a project topic.·        After Chapter-3, they can identify a novel, research-worthy problem.·        By Chapter-5, they will know how to collect, clean, and preprocess relevant data.·        Using Chapter-6 and 8, they can implement a fair and unbiased ML model.·        Through Chapter-9 and 10, they can interpret results with statistical confidence.·        By Chapter-11, they will have the skills to write a publication-ready paper.In short, the book transforms a student project into publishable research.

  7. Data structure   and algorithms    for AI & ML

    ·        Comprehensive Learning Path: The book starts with basics and gradually leads you to advanced topics, making it accessible for beginners and challenging for advanced learners.·        Contextual AI Applications: Every concept is illustrated with AI and ML examples, ensuring relevance and immediate applicability.·        Enhanced Understanding of AI Models: Knowing data structures like trees and graphs clarifies how decision trees or knowledge graphs operate internally, boosting your model-building skills.·        Algorithm Efficiency Awareness: Understanding algorithm complexity and heuristics allows you to write optimized AI programs that can handle large datasets and real-time processing.·        Practical Coding Exercises: With implementations in Python, you will develop a coding mindset essential for AI practitioners.·        Preparation for Research and Development: The book equips you to contribute to AI research and innovate new algorithms or improve existing ones.

  8. Codex Cheat Sheet
    Codex Cheat Sheet
    No fluff. No tutorials. Just the reference you'll keep open in a split pane every day.
    Andrei Smirnov

    Master Codex CLI in Minutes, Not Hours Stop guessing. Stop scrolling through docs. This cheat sheet gives you everything you need to use Codex CLI like a pro — from model selection and cost control to MCP servers, hooks, and multi-session workflows.

  9. MCP in Practice
    MCP in Practice
    Servers, Tools, and Integrations with Model Context Protocol
    CAIO INCAU

    Build MCP servers from scratch — from protocol to production deployment. Learn Tools, Resources, Prompts, HTTP transport, authentication, testing, and server composition. 14 chapters, one real project, complete TypeScript code.

  10. MCP na Prática
    MCP na Prática
    Servidores, Tools e Integrações com Model Context Protocol
    CAIO INCAU

    Construa servidores MCP do zero — do protocolo ao deploy em produção. Aprenda Tools, Resources, Prompts, transporte HTTP, autenticação, testes e composição de servidores. 14 capítulos, um projeto real, código TypeScript completo.

  11. Mastering Claude Code
    Mastering Claude Code
    From terminal to production with AI-assisted development
    CAIO INCAU

    Master Claude Code from zero to production. Build a complete full-stack app across 18 chapters — learning CLAUDE.md, Plan Mode, Skills, Hooks, MCP servers, subagents, the Agent SDK, CI/CD, and security best practices along the way.

  12. Building AI Agents from Scratch with Python
    Building AI Agents from Scratch with Python
    From LLM calls to multi-agent systems in production
    CAIO INCAU

    Build a complete AI agent from scratch — from a simple API call to a production multi-agent system with memory, planning, RAG, security, and deployment. 15 chapters, one real project, complete Python code.

  13. AI in Maintenance & Reliability
    AI in Maintenance & Reliability
    Predictive and Prescriptive Maintenance with Artificial Intelligence
    Mohammed Hamed Ahmed Soliman

    In this groundbreaking guide, Dr. Mohammed Hamed Ahmed Soliman — engineer, professor, and industry consultant — takes you on a practical journey into the world of AI-driven maintenance. You’ll discover how to transform operational data into actionable intelligence, reduce unplanned failures, extend equipment life, and maximize return on assets.

  14. Construindo AI Agents do Zero com Python

    Construa um AI agent completo do zero — de uma chamada simples à API até um sistema multi-agente em produção com memória, planejamento, RAG, segurança e deploy. 15 capítulos, um projeto real, código Python completo.

  15. Mastering Ontology Engineering with Protégé and Pizza.owl - VOLUME 3 -- Chapters 14-16 -- Semantic Requirements and EKA Governance

    The chapter that grew into its own book: existential and universal restrictions, the correct VegetarianPizza pattern, and how OWL restrictions become EKA governance.