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