Books

Discover why current AI memory systems fail and how to build agents that truly remember. This groundbreaking exploration reveals semantic spacetime, causal graphs, and event-driven architectures that transform static retrieval into dynamic understanding. From temporal reasoning with Allen's algebra to hypergraphs and metagraphs, learn to create AI that doesn't just store facts but understands causality, context, and meaning. The future of AI agents depends on memory systems that mirror human cognition—forgetting strategically, reasoning causally, and adapting contextually. Essential reading for developers building the next generation of intelligent agents that genuinely comprehend human experience and decision-making patterns.

This book isn't about patterns, principles, or best practices; there's actually barely any code in it. It's about the many things I've learned along the way being a professional programmer, and about the many, many mistakes I made along that way as well.

Take your first step into the world of data mining! This beginner-friendly guide blends theory and practice, covering classification, clustering, decision trees, and parallel computing with MPI. Perfect for students, researchers, and educators.

Jesus Is Our GodChristian Spiritual Book About the Divinity of Jesus Based on the Bible

Features and changes from Java 17 to Java 21. Record patterns, pattern matching for switch, virtual threads, structured concurrency, Foreign Function & Memory API.

How can a book offer anything “applied” on an abstract topic such as modularity in software development? – Well, for instance, by runnable examples and code to play with, by comparing different approaches of modularity applied to the same business domain and by field reports from projects where modularity has been intensively applied.

Anyone can turn on SD-WAN. Far fewer can design it, migrate a live network onto it without an outage, steer voice and cloud traffic intelligently, prove it's secure to an auditor, and still sleep at night. SD-WAN Fundamentals follows one company through the whole journey — design, build, migrate, secure, operate — so you learn SD-WAN the way you'll actually use it: as a project, end to end.

Service meshes like Anthos Service Mesh and Istio are the backbone of modern cloud-native applications on GCP, but when things go wrong, troubleshooting can feel like navigating a maze blindfolded. Connection refusals, mTLS failures, routing misconfigurations, and latency spikes can cripple your system—and your sanity.

You shipped the demo. The model worked. Now production is coming, and the demo is not a system. An agentic system is a distributed-systems engineering problem — the reliability lives in the shell, not the model.

Discover the mathematics powering the future of Artificial Intelligence and cybersecurity.Algebraic Foundations of AI: Groups, Rings, and Fields in Security & Cryptography reveals how abstract algebra forms the backbone of modern AI security, cryptographic systems, blockchain technologies, privacy-preserving machine learning, federated learning, and post-quantum cryptography.

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Master DeepSeek V3 — one of the most capable AI models of its time.This practical guide teaches students, researchers, and professionals how to use DeepSeek V3 for learning, research, coding, content creation, automation, and productivity — with strong focus on prompt engineering and responsible AI usage.

You already know how to build a Spring Boot service. Controllers, services, repositories, tests—it’s muscle memory. But what happens when your product manager asks for “an AI assistant” instead of “another REST endpoint”?Spring Boot Meets AI shows you how to plug modern AI models into the Spring applications you’re already running, using Spring AI’s fluent clients and Boot starters. You’ll go from zero to “curlable” AI endpoints in a few lines of code, then build up to real features: chat, summarisation, data extraction into POJOs, RAG over your own docs, and AI workflows that can safely call your own Java code.No new language. No separate AI microservice nobody wants to maintain. Just Spring Boot, Spring AI, and a set of patterns you can take back to work on Monday