Artificial Intelligence

You are not going to be replaced by AI. You are going to be replaced by a VA who uses AI. This book makes sure that VA is you.

Your AI agent is only as smart as what it remembers. Most developers treat knowledge representation as an afterthought -- a data structure problem, not an architecture problem. They flatten complexity into schemas that can't express relationships, deploy embeddings without grounding, and build agents that degrade under their own reasoning load. This book changes that. **TypeDB for Edge AI Agents** is a practitioner's guide to building knowledge systems that actually work at the scale and complexity your agents demand. TypeDB is built on type theory -- the same mathematics that powers formal verification and programming language safety. For agents, that means you can express constraints that prevent bugs in your knowledge layer, reason about what's possible and what's forbidden, and build memory systems that don't require constant hallucination detection. With the Rust rewrite in TypeDB 3.0, your agents can carry sophisticated knowledge graphs on-device -- no round-trip to a server, no latency, no external dependencies. This book covers everything from the PERA data model and OWL ontologies to promise graphs for multi-agent coordination, giving you the patterns to design knowledge systems that scale without becoming incoherent. Whether you're an ML engineer, AI architect, or backend developer building production agent systems, this book bridges the gap between type theory and working code. You'll learn to design knowledge graphs that don't decay, structure agent memory that doesn't degrade over time, and coordinate multi-agent systems that respect causality and distributed constraints. Stop building agents that confidently hallucinate -- start building agents that reason correctly, remember reliably, and coordinate with certainty.

Meaning is not a treasure waiting to be found. It is a craft waiting to be made.

Gradient-boosted trees have dominated tabular ML for a decade. A new class of pretrained models just broke through — making accurate predictions on unseen datasets in seconds, with zero gradient steps on your data. This book explains why it works, when it fails, and how to deploy it.

从 AI 使用者，升级为 AI 系统创造者——亲手打造你的 24 小时智能助理。

A book sharing both the conceptual and practical part of experiments carried out with AIs on the integration of humans and AIs as team members.

The reason you can't have everything is also the reason anything exists at all.

If a humanoid robot carries about $28,000 a year in fixed cost, then at $60 contribution per billable hour it breaks even at roughly 467 billable hours per year, or just under 9 hours per week. But if supervision is heavier and contribution drops to $28 per hour, break-even jumps to 1,000 hours per year, or about 19.2 hours per week.

Stop building static interfaces for dynamic AI and master the art of reactive, intelligent design.Leverage Swift 6 concurrency and @Observable to handle real-time token streaming and async outputs.From SwiftData persistence to animated visualizations, learn to architect production-ready Apple apps.The ultimate guide to building fluid, professional user experiences powered by modern AI models.

AI doesn't just assist physicians anymore — it reasons. It generates diagnoses, synthesises evidence, and executes clinical workflows. The question isn't whether to use it. It's whether we'll use it wisely.Vibe Medicine introduces the Orchestrator Physician: a clinician who commands AI systems while providing what they cannot — the right questions, human context, judgment under uncertainty, and full accountability. Part manifesto, part practical guide, part honest reckoning with the dangers — this is the book the medical profession needs right now.

Stop building dashboards. Start building outcomes. A guide to designing "Invisible Engines" and agentic systems for a world tired of software.

Most organizations know they have an AI problem. Few have the tools to diagnose it honestly, measure it rigorously, and close it systematically.

Master the art of on-device speech and natural language processing using Swift 6. Implement real-time transcription, custom text classification, and intelligent semantic search. Leverage Apple’s design philosophy to build high-performance, privacy-first AI applications. Elevate your professional development skills with this comprehensive guide to Apple’s AI stack.

Mastering Swift 6 is the key to unlocking Apple Intelligence in the new iOS 18 and macOS 15 era. From on-device LLMs to Private Cloud Compute, architect intelligent features that prioritize user privacy and speed. Integrate Writing Tools, App Intents, and On-Screen Awareness using robust Swift 6 Actors and asynchronous patterns. Transform your applications into context-aware assistants and lead the generative AI revolution on Apple platforms.

Unlock the power of private, lightning-fast on-device AI with Swift 6 and Core ML. Expert Edgar Milvus provides a professional roadmap to mastering Apple’s Vision framework. From real-time image analysis to model optimization, learn to build high-performance apps. Stop relying on the cloud and start architecting the future of visual intelligence today.