Artificial Intelligence

A comprehensive technical reference on advanced aerospace systems, stealth engineering, hypersonics, propulsion, avionics, sensor fusion, space systems, and next-generation aircraft architectures.Modern aerospace engineering brings together disciplines that once operated largely independently. Aerodynamics, electromagnetics, propulsion, materials science, avionics, autonomy, and systems engineering now interact within increasingly complex air and space platforms. Understanding these systems requires more than knowledge of individual components; it requires an appreciation of how their physical principles, computational models, and engineering constraints influence the architecture as a whole. Advanced Aerospace Engineering: Lockheed & Partners is a 52-chapter technical compendium exploring the engineering principles behind advanced aerospace and defense systems. Drawing on publicly documented technologies and established engineering methods, it examines the relationship between theoretical foundations, computational analysis, subsystem design, and system-level integration.

AI models do not have to be huge, slow or expensive. Distilling Intelligence explores how to build smaller models that perform at scale, then secure the APIs that serve them. From compression and distributed serving to extraction attacks, observability and incident response, this book covers what it takes to run AI reliably in the real world.

When code gets cheap, understanding gets expensive. The Code Is Lying follows a team of engineers as coding agents move the bottleneck from writing software to reviewing, verifying, and trusting it. Every chapter ends with field notes on the habits and checks that keep the practice honest.

Найпоширеніша помилка самвидавця — не лінь, а неправильний порядок. Ви дописали чернетку, і перше, що хочеться, — почистити мову. Приємна робота: кожне речення стає кращим, є відчуття руху. А через два місяці з'ясовується, що четвертий розділ треба викинути цілком. І всі ті відшліфовані речення підуть із ним. Нова книжка — про те, у якому порядку це робиться.

Build and publish TapGlint, a fast reflex web game with a global leaderboard, using browser-based AI tools and no prior coding experience. This hands-on beginner's guide teaches clear prompting, step-by-step app building, online data with Supabase, debugging, mobile-friendly polish, and deployment to a live link you can share.

Security is no longer something you add after a system is built. It must be designed from the beginning.Security by Design explores how modern digital systems can be built to reduce risk, limit unauthorized access, protect sensitive data, detect threats, contain failures, and recover from attacks.From secure architecture and cybersecurity foundations to privacy, cloud security, DevSecOps, AI security, and digital resilience, this book provides a practical foundation for building systems that remain secure in an increasingly connected and AI-powered world.

AI has moved from the lab to the boardroom. The Chief AI Officer offers a practical guide to leading that shift, from deciding whether you need a CAIO to building the teams, governance and strategy that turn AI into real business value.

The Future of Software Engineering Has Arrived.AI can now write code, generate tests, analyze requirements, explain systems, assist with debugging, and automate increasingly complex engineering tasks.But building great software has never been just about writing code.How do you design the right architecture?How do you build systems that remain secure and reliable at scale?How do you integrate AI without sacrificing quality, privacy, or control?How do you use AI to make engineers more effective without replacing engineering judgment?Engineering Software Systems in the AI Era explores these questions and provides a practical framework for designing, building, testing, securing, deploying, operating, and evolving modern software systems.Inside, you will explore:Modern software architecture and system designCloud-native and scalable systemsData architecture and intelligent data systemsAI engineering and AI-native applicationsCybersecurity and privacy by designSoftware quality and reliabilityDevOps, DevSecOps, and continuous deliveryObservability and production engineeringAI-augmented software developmentAI agents and intelligent engineering workflowsPlatform engineeringTechnical debt and engineering strategyAI governance and risk managementTechnical leadership in the AI eraThe future of software engineeringThe central message is simple:AI may make software development faster. Engineering makes software better.Learn how to combine the power of artificial intelligence with the discipline of software engineering to build systems that are secure, scalable, reliable, intelligent, maintainable, and ready for the future.

Build AI agents that reason when necessary, preserve what they learn, and stop paying the intelligence premium for work they already know how to perform. Smart AI Agents combines architecture, working implementations, public source code, and measured experiments to show how agents can learn once and execute many.

Aprende a combinar SQL, Python, estadística y Machine Learning para priorizar posibles fraudes en retail. Un enfoque práctico, técnico y aplicado, con ejemplos, visualizaciones y códigos de apoyo.

不需要机器人实验室，也能真正上手具身智能。

A practical guide to evaluating small and local language models in the real world. Learn how to benchmark reliably, compare models across hardware and runtimes, optimize performance and avoid misleading results. With practical code and rigorous methods, you can build your own evaluation setup and make confident deployment decisions.

A 1,032-page study system for the AIGP exam: every question explained option by option, then linked to the Concept Card that makes it answerable.

What if you could build software without manually writing every line of code? Artificial Intelligence is transforming the way software is designed, developed, tested, and deployed.But becoming an AI-powered software engineer isn't simply about asking an AI to write code.It's about learning how to think, design, build, test, verify, and improve software with AI as your engineering partner.The AI-Powered Software Engineer takes you on a practical journey from traditional programming to AI-assisted development and modern AI engineering.Learn how to use AI to:Design software. Generate and understand code. Debug complex problems. Build AI-powered applications. Automate workflows. Test and secure software. Deploy real products. Build AI-powered SaaS businesses.You don't need to become the fastest programmer in the room.You need to become the person who can turn an idea into a working, reliable, valuable system.Write less code. Think more. Build faster. Engineer smarter.The future of software engineering isn't humans versus AI.It's humans building with AI.

AI is changing fast, and so are the security risks that come with it. This practical guide shows security and technology leaders how to govern, secure and assure AI systems from design through deployment and beyond. Packed with proven frameworks, controls and real-world guidance, it turns complex AI security requirements into practical action.