Books

What if the unpredictable behavior of intelligent systems is not a flaw—but a feature?In Nonlinear Dynamics and Chaos Theory in Artificial Intelligence (VOL-II), Anshuman Mishra explores the fascinating intersection of chaos, complexity, fractals, adaptive intelligence, and machine learning.Discover how chaotic neural networks, nonlinear optimization, fractal learning architectures, autonomous robotics, reinforcement learning, and emergent intelligence are transforming the future of AI.Through mathematical rigor, practical Python implementations, real-world case studies, and cutting-edge research directions, this book reveals how chaos can become a powerful tool for building smarter, more adaptive, and more resilient intelligent systems.For researchers, students, engineers, and AI innovators, this volume opens the door to one of the most exciting frontiers of next-generation artificial intelligence.

What if the unpredictable behavior of AI systems is not a flaw but a consequence of deeper mathematical laws? Explore chaos theory, nonlinear dynamics, fractals, emergence, and complexity to uncover how intelligent systems learn, adapt, self-organize, and evolve in ways that traditional linear models cannot explain.

Explore the advanced world of AI reasoning through SAT and SMT solvers, knowledge representation, intelligent agents, logic programming, formal verification, and neuro-symbolic AI. Learn how modern intelligent systems reason, prove, verify, and explain decisions with mathematical precision.

Discover the mathematical foundations behind intelligent reasoning. Explore propositional logic, predicate logic, theorem proving, SAT and SMT solvers, knowledge representation, formal verification, and AI reasoning systems in one comprehensive guide designed for students, researchers, and AI professionals.

Before he was a legend, he was a monster.Before Blackridge feared his name, it belonged to the city.Now, after years in exile, Aidan Cole returns to find the underworld at war, old allies turning into enemies, and a conspiracy that reaches deeper than he ever imagined.In a city built on lies, survival isn't enough.To protect the people he loves, Aidan must become the Ghost once again.And this time, there may be no way back.

Explore the advanced frontier of Category-Theoretic Artificial Intelligence. Discover how transformers, symbolic reasoning, reinforcement learning, higher categories, topos theory, and compositional learning can be unified through the powerful language of category theory. An essential guide for researchers, AI professionals, and future AGI innovators.

Discover how Category Theory is becoming the mathematical language of modern Artificial Intelligence. Explore categories, functors, natural transformations, compositional learning, neural networks, probabilistic models, and functorial machine learning through an AI-first approach designed for students, researchers, and AI professionals.

Most iOS interview books teach you the answer. This one shows you what a senior sounds like giving it: three versions of every answer, candidate, senior, and staff, side by side, so you can see the gap between correct and hired. 178 questions across six career levels, each with the follow-up that decides it and the red flag that ends the loop.

Migrate existing, high-traffic production Android and iOS applications to Kotlin Multiplatform (KMP) and Compose Multiplatform (CMP) systematically—without pausing feature development or compromising release stability.

Ready for the Room gives you seven practical leadership templates to help you organize your thoughts, say what matters, and help people move forward. Pick one template. Fill it in. Walk in prepared.

A practical guide to Cosmos DB for .NET developers who know relational databases and want to understand document thinking — not just the SDK. Built from a real production application, not documentation copy-paste.

Coder ne suffit plus. N'importe quel LLM peut générer du code. Pour vingt dollars par mois.Ce qui change tout, c'est d'avoir une **méthode**. Sans méthode, l'IA te produit du code.Avec une méthode, elle te produit le logiciel dont tu as besoin. --- Le vibe coding a un problème Les deux premières semaines sont magiques. Chaque session produit duvrai code. Le projet grandit vite. Troisième semaine : tu corriges un module, quelque chose casse ailleurs.Quatrième semaine : l'agent ne se souvient plus des décisions prises.Cinquième semaine : ce qui prenait une heure en prend maintenant trois. Ce n'est pas un bug. C'est l'absence d'artefact de référence partagé. --- La solution : la spec comme artefact primaire **Spec-Driven Development (SDD)** inverse l'ordre habituel. Le code ne sert plus de source de vérité. La spec l'est.Le code implémente la spec. Les tests vérifient la spec.Et quand quelque chose dérape, tu mets d'abord à jour la spec. Un `.md`. Versionné avec git. Toujours à jour. C'est tout. --- Ce que tu vas apprendre - Pourquoi le vibe coding se dégrade et les 3 symptômes universels- Ce qu'est réellement le SDD (et ce qu'il n'est pas)- Les 7 phases du développement sérieux avec l'IA- Comment écrire un PRD en ~500 mots qui guide tout le reste- Comment transformer un PRD en issues GitHub actionnables- La boucle d'exécution : spec → agent → révision → itération- Les outils : GitHub SpecKit, OpenSpec, et les flux agnostiques- Les antipatterns les plus coûteux et comment les éviter- SDD en équipe, en greenfield et en brownfield- 3 cas complets : webhook, notifications, API publique --- Ce livre est fait pour toi si… - Tu utilises déjà l'IA pour coder mais les projets deviennent ingérables- Tu veux livrer plus vite sans perdre le contrôle de l'architecture- Tu travailles seul ou en équipe et tu cherches un cadre reproductible- Tu veux comprendre la méthode, pas juste copier des prompts

¿Y si todo lo que te enseñaron sobre el dinero fue diseñado para mantenerte dependiente? Un alegato global por Bitcoin como soberanía financiera — contado con voces de cuatro continentes.