Название: Embodied Multi-agent Systems: Perception, Action and Learning
Автор: Huaping Liu, Xinzhu Liu, Kangyao Huang, Di Guo
Издательство: Springer
Серия: Machine Learning: Foundations, Methodologies, and Applications
Год: 2025
Страниц: 246
Язык: английский
Формат: pdf (true)
Размер: 19.7 MB

In recent years, embodied multi-agent systems, including multi-robots, have emerged as essential solution for demanding tasks such as search and rescue, environmental monitoring, and space exploration. Effective collaboration among these agents is crucial but presents significant challenges due to differences in morphology and capabilities, especially in heterogenous systems. While existing books address collaboration control, perception, and learning, there is a gap in focusing on active perception and interactive learning for embodied multi-agent systems. This book aims to bridge this gap by establishing a unified framework for perception and learning in embodied multi-agent systems. It presents and discusses the perception-action-learning loop, offering systematic solutions for various types of agents—homogeneous, heterogeneous, and ad hoc. Beyond the popular Reinforcement Learning techniques, the book provides insights into using fundamental models to tackle complex collaboration problems. By interchangeably utilizing constrained optimization, Reinforcement Learning, and fundamental models, this book offers a comprehensive toolkit for solving different types of embodied multi-agent problems. Readers will gain an understanding of the advantages and disadvantages of each method for various tasks. This book is suitable as a reference book for graduate students with a basic knowledge of Machine Learning, as well as for professional researchers interested in robotics and embodied intelligence.

Название: Generative AI for Cloud Solutions: Building end-to-end generative AI stacks with cloud services and model orchestration pipelines
Автор: Sireesha Muppala, Randy DeFauw, Sina Sojoodi
Издательство: BPB Publications
Год: 2025
Страниц: 316
Язык: английский
Формат: epub (true)
Размер: 15.2 MB

Generative AI is transforming every industry, with applications ranging from creative content generation, simple chatbots, to entirely new ways of engaging with consumers. But there is as much uncertainty as buzz—understanding how to use this technology securely and responsibly, and recognizing what the pitfalls are. In this book, we will put together a complete picture of Generative AI development on modern cloud platforms, covering all stages of building and operating a production-grade solution with consideration for performance, security, governance, and responsibility. Conceptual discussions will be accompanied by functional examples, using working code on Amazon Web Services (AWS) cloud to demonstrate key concepts. We will explore the full lifecycle, from initial model selection and fine-tuning to production deployment, monitoring, and ongoing operation. Key aspects include prompt engineering, data integration techniques, observability, the shared responsibility model, and the full solution lifecycle from design to operation. Additionally, we will discuss recommendations for prioritizing a Generative AI roadmap for organizations and emerging trends in the field.

Название: Infrastructure as Code with Azure Bicep: Infrastructure development through Bicep modules, template specs, and DevOps automation pipelines
Автор: Adora Nwodo
Издательство: BPB Publications
Год: 2025
Страниц: 268
Язык: английский
Формат: pdf, epub (true)
Размер: 11.2 MB

Azure Bicep is a powerful language for deploying Azure resources declaratively, providing a simpler and more efficient alternative to JSON for creating Azure Resource Manager templates. It streamlines the process of defining, provisioning, and managing cloud infrastructure, making Infrastructure as Code (IaC) more accessible and effective. This book provides a comprehensive guide to Azure Bicep, starting with an introduction to IaC, Bicep's core concepts, and a comparative analysis with ARM templates. It covers installation, setup, fundamental syntax, and practical template creation and deployment. Readers will learn to utilize variables, parameters, expressions, conditions, and loops for dynamic configurations. The book explores modularity through Bicep modules and template specs, as well as compilation and decompilation processes. Automation is emphasized with GitHub Actions and Azure DevOps CI/CD pipelines, including monitoring and troubleshooting. Advanced topics include scaling Bicep for large projects, secret management, cross-subscription deployments, and Policy as Code (PaC). By the end of the book, you will have the tools and knowledge to implement IaC principles in your workflow, accelerating the development of reliable and scalable Azure cloud applications.

Название: Event-Database Architecture for Computer Games: Volume 1, Software Architecture and the Software Production Process
Автор: Rodney Quaye
Издательство: CRC Press
Год: 2026
Страниц: 280
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Event-Database Architecture for Computer Games proposes the first explicit software architecture for game development, answering the problem of building modern Computer Games with little or no game design. An archetypal software production process, based on this architecture, is also introduced. This volume begins by describing the formal definition of software production processes in general and the production process of Computer Games in particular. It introduces the two basic principles behind the software architecture that addresses the communication and productivity problems of a degenerative production process. It goes on to describe the archetypal software production process and outlines the role that the Game Designers, Game Programmers, Game Artists, Sound Designers and Game Testers play in that process. This book will be of great interest to professional game developers involved in programming roles, such as Tools Programmers, UI Programmers, Gameplay Programmers and Engineers, as well as students studying game development and programming.

Название: DeepSeek AI: A comprehensive guide for enterprise implementation
Автор: Utpal Chakraborty
Издательство: BPB Publications
Год: 2025
Страниц: 260
Язык: английский
Формат: pdf, epub (true)
Размер: 10.1 MB

This guide takes readers from core concepts to practical implementations, showcasing DeepSeek's capabilities across industries. Starting with AI evolution and DeepSeek's technical foundations, the book establishes a framework for understanding its innovative problem-solving approach. This technical volume examines DeepSeek's evolution beyond traditional transformer-based models, addressing GPT legacy limitations through architectural innovations and efficiency optimizations. The text explores DeepSeek's layered approach, attention mechanisms, multimodal fusion techniques, and training methodologies across NLP, healthcare, education, and cybersecurity applications. Technical frameworks for installation, custom model training, domain-specific fine-tuning, and API integration are documented with performance optimization strategies for production deployment. Implementation approaches span code generation, multilingual translation, video analysis, scientific research, and edge computing. This book is designed for data scientists, ML engineers, AI researchers, software developers, and technical leaders seeking to implement cutting-edge AI solutions. Readers should have a foundational understanding of ML concepts, basic programming skills, and familiarity with neural networks, though extensive AI expertise is not required to benefit from the practical applications covered.

Название: Low-Code Development with ServiceNow: Understand ServiceNow architecture, data relationships, security, UI configuration, automation, and integrations
Автор: Nicola Attico
Издательство: BPB Publications
Год: 2025
Страниц: 392
Язык: английский
Формат: epub (true)
Размер: 22.1 MB

ServiceNow is a leading cloud-based platform that enables digital workflows to streamline business operations. This book offers valuable insights into the Now Platform and its technology stack, combining both classic and modern ServiceNow capabilities. Mastering these capabilities is essential for developing new low-code applications on the Now Platform and for configuring existing ones. Starting with fundamental concepts and PDI setup, this book progresses through data modeling, UI design with Core UI, Service Portal, and Now Experience, and server-side logic using business rules and APIs. Security is thoroughly covered with ACLs, data encryption, and KMF. You will explore automation through scheduled jobs, flows, and API integrations. Analyze Service Catalog, mobile app development using Now Mobile, and advanced AI and conversational features like Virtual Agent, NLU, and Now Assist. This book serves ServiceNow consultants, administrators, system integrators, students, and managers with beginner to intermediate platform knowledge. It is ideal for professionals advancing their careers or preparing for interviews where ServiceNow expertise is required, while still providing great insights for advanced readers. Basic jаvascript understanding is helpful but not mandatory.

Название: A Compendium of Responsible Artificial Intelligence
Автор: Deepak Kumar Jain, Kirti Raj Bhatele, Deepak Garg, Gaurav Dhiman
Издательство: CRC Press
Год: 2025
Страниц: 336
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Taking a broad, multidisciplinary approach to the ethical, legal, and practical dimensions of developing AI, the book puts key issues such as bias, transparency, accountability, and privacy at center stage. From computer science through law and ethics into policy, it lays down the roadmap on which developers, data scientists, and policymakers could bring AI technologies properly attuned to societal values. This book can be read as a resource for those who want to be able to guide the development and deployment of responsibly controlled AI systems. The book puts key issues such as bias, transparency, accountability and privacy at center stage. From computer science through law and ethics into policy, it lays down the roadmap on which developers, data scientists, and policymakers could bring AI technologies properly attuned to societal values.

Название: Курс Delphi для начинающих. Полигон нестандартных задач
Автор: Ремнев А.А., Федотова С.В.
Издательство: СОЛОН-ПРЕСС
Год: 2016
Cтраниц: 355
Формат: pdf
Размер: 61 мб
Язык: русский

Курс программирования предполагает последовательное изучение материала от простого к сложному. Большая часть материалов книги посвящена разбору и решению практических задач. Книга будет полезна широкому кругу читателей — студентам вузов, учащимся лицеев, колледжей, школьникам. Особый интерес она вызовет у преподавателей информатики благодаря строго структурированному системному подходу в изложении материала, а также включению в рассмотрение методологии поисково-деятельностных образовательных технологий проблемного обучения, таких как: исследование, проект или проектно-исследовательская деятельность, решение олимпиадных задач.

Название: Edge Computing with Kubernetes: Building, deploying, and orchestrating applications securely at the edge using KubeEdge
Автор: Lekha Menon, Gopalakrishnan Ramamoorthy, Harikrishnan Nithyanandan
Издательство: BPB Publications
Год: 2025
Страниц: 324
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

KubeEdge represents a dynamic evolution in edge computing, continually adapting to the growing demands of modern applications and the Internet of Things (IoT). The foresight of its founders has been instrumental in establishing a robust framework that not only extends Kubernetes capabilities but also fosters collaboration within the open-source community, ensuring that KubeEdge remains at the forefront of technological advancements in edge environments. This book covers containers, Kubernetes fundamentals, and KubeEdge's architecture, including CloudCore, EdgeCore, and DeviceTwin. Learn installation, configuration, and management, focusing on scalability, security, and resilience. Explore workload management, upgrades, observability, and automation with tools like Terraform and Ansible. The book also reviews industry alternatives, SIGs, and collaborations with CNCF projects. Finally, discover real-world applications in industries like manufacturing and retail, with insights into Sedna AI for edge analytics. Through practical examples, industry insights, and case studies, this book describes what is currently developed around KubeEdge and the functional and non-functional aspects surrounding it. This book is designed for IT professionals, software developers, and technical managers seeking to deepen their understanding of edge computing and KubeEdge.

Название: Mastering Retrieval-Augmented Generation: Building next-gen GenAI apps with LangChain, LlamaIndex, and LLMs
Автор: Prashanth Josyula, Karanbir Singh
Издательство: BPB Publications
Год: 2025
Страниц: 394
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Large language models (LLMs) like GPT, BERT, and T5 are revolutionizing how we interact with technology — powering virtual assistants, content generation, and data analysis. As their influence grows, understanding their architecture, capabilities, and ethical considerations is more important than ever. This book breaks down the essentials of LLMs and explores retrieval-augmented generation (RAG), a powerful approach that combines retrieval systems with generative AI for smarter, faster, and more reliable results. It provides a step-by-step approach to building advanced intelligent systems that utilize an innovative technique known as the RAG thus making them factually correct, context-aware, and sustainable. You will start with foundational knowledge — understanding architectures, training processes, and ethical considerations — before diving into the mechanics of RAG, learning how retrievers and generators collaborate to improve performance. The book introduces essential frameworks like LangChain and LlamaIndex, walking you through practical implementations, troubleshooting, and optimization techniques. This book is for AI practitioners, data scientists, students, and developers looking to implement RAG using LangChain and LlamaIndex. Readers having basic knowledge of Python, ML concepts, and NLP fundamentals would be able to leverage the knowledge gained to accelerate their careers.