Название: AI-Native Software Engineering: Building with AI Agents and Spec-Driven Development (Early Release)
Автор: Alfonso Graziano
Издательство: O’Reilly Media, Inc.
Год: 2026-05-05
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

It's a craft takeover with a tech twist! Technology doesn’t just make new gadgets possible, it’s also transforming traditional crafts of all kinds. In this issue, we celebrate the fusion of tech and craft in the spirit of our companion magazine Craft: (2006–2009). In our cover project, try out bargello embroidery and build your own glowy mini bag, powered by 3D printing and the Pixelblaze LED controller. Follow artist Kenny Sing as he uses digital design and fabrication to create stunning contemporary ceramics. Forge a knife, sew an inflatable costume, and give wood projects a deep, charred finish with the Japanese technique yakisugi. Or learn 18th-century paper quilling and then light it up with LEDs! Plus 23 projects, including: - Make a unique analog synthesizer by hacking a cheap cassette tape player; - Build OpenCAL, the world’s first layerless, all-at-once 3D printer; - Tell stories with moving lenticular images; - Bedazzle a denim jean jacket with light-up flowers; - Introduce computer engineering to toddlers; - Build a fuzzy cat derrière sensor that works as a Unity video game controller. And much more!

Название: Mastering Machine Learning Architecture and Solutions: From Design to Deployment
Автор: Mohammad Reza Mahdiani
Издательство: Apress
Год: 2026
Страниц: 391
Язык: английский
Формат: True PDF, True EPUB
Размер: 13.1 MB

Mastering Machine Learning Architecture and Solutions is a comprehensive guide to designing and deploying end-to-end ML systems. Ideal for data scientists, Machine Learning engineers, and architects, this book bridges theoretical foundations with practical applications to help you navigate the complexities of modern ML development. The book begins with the exploration of ML architecture, it introduces the core concepts and lifecycle stages necessary for successful implementation. It delves into designing robust data pipelines, emphasizing data cleaning, feature engineering, and scaling techniques to support high-performance ML systems. For data scientists, Machine Learning engineers, AI professionals, and technical professionals aiming to enhance their expertise in ML system architecture and deployment.

Название: Kubernetes for Absolute Beginners: Getting Familiar with K8s and Container Technologies
Автор: Brando Marzio Sabatini
Издательство: Apress
Год: 2026
Страниц: 228
Язык: английский
Формат: pdf (true), epub
Размер: 20.2 MB

Learn modern application deployment practices using containers and gain the foundational knowledge and practical skills that can be applied in real-world scenariosThis book aims to make Kubernetes and container technologies easier to understand for those new to cloud computing and containerization. Aided by clear explanations, pictures, and diagrams, you’ll start by reviewing the basics of container technologies, how Kubernetes works, how to deploy applications, and how networking works within this open-source system. Then, guided by a step-by-step approach to learning complex topics, the book explains why containers and Kubernetes are important in modern software development and shows you how these technologies are changing the way we build and run software. Kubernetes is a container orchestration system that we can use to automate the deployment, management, and scaling of containerized applications. For those of us who don’t know, containerized apps are software packages that come with their code, dependencies, and configurations in lightweight, portable containers that can run consistently in an array of environments. For IT professionals and developers who are new to Kubernetes and container technologies.

Название: Prompting Python for Full Stack Development: Learn Python Programming by Building Full-Stack Web Apps, Automation Projects, Data Tools, and AI Applications
Автор: Temidayo Adefioye
Издательство: Orange Education Pvt Ltd, AVA
Год: 2026
Страниц: 250
Язык: английский
Формат: pdf, epub (true)
Размер: 10.1 MB

Stop Coding Alone—Build Full-Stack Python Applications Faster with AI-Powered Prompting. Python skills open doors across software development, data, automation, and AI — and enable writing working code faster using natural language. Prompting Python for Full Stack Development shows you how to build real Python applications while using AI tools to generate, debug, and refine code at every stage of the development process. You begin with Python fundamentals — syntax, data structures, control flow, functions, and error handling- and then progressively integrate AI tools to accelerate each step. The book takes you from writing your first scripts to building an AI task manager, automating data analysis, creating intelligent web scrapers, and deploying a Python web application, grounded in practical exercises and guided prompt workflows throughout. This book is tailored for beginners, students, analysts, and career switchers who want to learn Python while using AI as a coding partner from day one. No prior programming experience is required — only curiosity and a willingness to learn by building real projects is enough.

Название: Next Gen Chatbots & RAG From Zero to Hero: How to Build a Custom AI Assistant That Knows Your Business Inside and Out (Without Making Things Up)
Автор: Temotec AI Academy, Tamer Ahmed
Издательство: Temotec AI Academy
Год: 2026
Страниц: 510
Язык: английский
Формат: epub
Размер: 86.4 MB

Stop Apologizing for AI Hallucinations. Start Deploying Enterprise Truth. Are you terrified of letting a generic AI talk to your customers because it might invent a fake refund policy? Are your employees wasting hundreds of hours digging through chaotic Google Drives and messy PDFs to find simple answers? Do you want to replace expensive bottlenecks with an invisible assistant that instantly recalls complex product manuals with 100% accuracy? Next-Gen Chatbots & RAG: From Zero to Hero is the definitive blueprint for moving beyond basic, unpredictable ChatGPT wrappers. Authored by Tamer Ahmed and developed for the Temotec Academy, this handbook teaches you how to build a private, secure AI that reads your specific company documents and operates under a strict "Truth Only" mandate. This isn't just about answering questions; it's about building an impenetrable digital brain for your enterprise. Graduate to the "Hero" level by launching autonomous agents that intelligently route support tickets and trigger real-world actions without needing a massive engineering team.

Название: Data-driven Decision Making and Soft Computing: Applications and Advances
Автор: D. Nagarajan, Dragan Pamucar, Zarife Zararsız
Издательство: CRC Press
Серия: Intelligent Data‐Driven Systems and Artificial Intelligence
Год: 2026
Страниц: 335
Язык: английский
Формат: pdf (true), epub
Размер: 15.3 MB

This book reflects the comprehensive exploration of the intersection between fuzzy decision-making and soft computing. It delves into the theoretical foundations of fuzzy decision-making and soft computing, exploring the underlying principles, algorithms, and mathematical frameworks. The text showcases the latest methodological advances in combining fuzzy decision-making with various soft computing techniques, such as neural networks, and evolutionary computation. This book is structured to provide an integrated blend of theoretical foundations, algorithmic developments, and applications to real-world problems. Initial chapters cover the concepts of decision-making with data, with an emphasis on the utilization of Machine Learning, fuzzy logic, neural networks, and evolutionary algorithms to handle imprecision and uncertainty. One of the salient features of this book is its focus on multi-criteria decision-making models, fuzzy set theory, and Artificial Intelligence-based methods. These techniques enable researchers, engineers, and decision-makers to draw informed inferences from vast datasets with greater efficiency and accuracy. Additionally, this book presents case studies and real-world applications to bridge the theory–practice gap.

Название: Generative AI for Cybersecurity
Автор: Boubiche Djallel Eddine, Sedat Akleylek
Издательство: CRC Press
Год: 2026
Страниц: 343
Язык: английский
Формат: pdf (true), epub
Размер: 30.8 MB

Generative AI for Cybersecurity explores how rapidly evolving generative models are reshaping modern digital defense. As organizations become more interconnected and data-driven, traditional cybersecurity measures are increasingly challenged by adaptive, AI-powered threats. Generative AI (GenAI) introduces new capabilities that can significantly enhance threat detection, automate security operations, and improve situational awareness, but it also enables sophisticated offensive techniques, deepfakes, automated malware generation, and large-scale misinformation. This book provides a balanced and comprehensive examination of this dual-use technology. It highlights how generative models can be leveraged to build resilient, intelligent, and proactive defense mechanisms capable of anticipating and countering emerging cyber risks. At the same time, it critically analyzes the vulnerabilities, ethical dilemmas, and regulatory challenges introduced by the misuse of GenAI. Through diverse perspectives and expert contributions, the book bridges theoretical foundations with real-world applications, demonstrating how GenAI can support adaptive intrusion detection, anomaly analysis, secure autonomous systems, and more transparent and explainable security solutions.

Название: Attacks and Defenses in Explainable Artificial Intelligence
Автор: Amol Dattatraya Vibhute, Rajesh Kumar Dhanaraj, Malathy Sathyamoorthy, Paramasivam A.
Издательство: Wiley-Scrivener
Год: 2026
Страниц: 519
Язык: английский
Формат: pdf (true)
Размер: 66.0 MB

Bridge the critical gap between AI transparency and security with this essential guide to the systematic defense frameworks and ethical strategies needed to protect Explainable AI (XAI) systems from sophisticated adversarial attacks. In the Artificial Intelligence era, Explainable AI (XAI) is an essential breakthrough that plays a vital role in unfolding complex AI model decisions and predictions. However, adversarial attacks can break XAI systems and create dangerous cyber threats. This book is a fundamental guide to the systematic framework and solutions surrounding XAI and its vulnerabilities. It presents strategies for detecting adversarial attacks and focuses on various attack scenarios and defense mechanisms essential in stimulating AI systems. The book will provide a systematic and detailed exploration of the complexity of adversarial attacks on XAI systems and propose theoretical concepts, methodological solutions, and essential tools for protecting the XAI systems against adversarial attacks.

Название: Generative AI 2.0 and Data Analytics
Автор: Adarsh Garg, Fadi Al-Turjman, John Walsh
Издательство: CRC Press
Год: 2026
Страниц: 249
Язык: английский
Формат: pdf (true), epub
Размер: 21.2 MB

Data analytics and Generative AI (GenAI) are transformative technologies that play a critical role in modern decision-making and innovation. Data analytics enables organizations to extract actionable insights from vast amounts of structured and unstructured data, driving efficiency, improving customer experiences, and identifying trends. Generative AI, on the other hand, enhances creativity and problem-solving by producing new content, such as text, images, and designs, based on learned patterns. Together, they empower people and organizations to make data-driven decisions, automate complex processes, and unlock new opportunities for growth and innovation. Not only covering the fundamental concepts and techniques of Generative AI and their practical application, the book also investigates how these techniques foster innovation and improve the quality of data in various business domains. It examines a broad range of topics from artificial data generation, security analytics, anomaly detection, reinforcement management, ethical consideration, challenges, and future scenarios.

Название: Quantum Artificial Intelligence: Technologies, Algorithms and Programming
Автор: Deepika Ghai, Suman Lata Tripathi, Ramandeep Sandhu, Sardar M.N. Islam
Издательство: CRC Press
Год: 2026
Страниц: 161
Язык: английский
Формат: pdf (true), epub
Размер: 15.9 MB

This book explores the transformative potential of quantum computing in artificial intelligence (AI) and its impact on various fields. It delves into the foundational concepts, mathematical frameworks, and algorithmic paradigms, providing a roadmap for interdisciplinary research of quantum computing in AI. With a focus on practical applications and prospects, this book bridges the gap between theory and practice, empowering readers to harness the transformative power of quantum technologies for societal and technological advancement.