Search results for "Generative AI System Design"
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AI-enabled Smart Antenna Design for 6G Wireless Systems
A comprehensive guide to 6G wireless systems and AI-powered smart antennas, this book explores how artificial intelligence can transform antenna design, optimize, and deploy next-generation networks. Readers will gain practical insights into integrating AI with advanced antenna technologies for ultra-fast, energy-efficient, and adaptive 6G networks. It combines theory with hands-on simulation, real-world use cases, and open-source resources, covering topics like beamforming, RIS, terahertz antennas, and edge AI.Key Features:Effectively bridges the gap between AI theory and practical smart antenna design for 6G networks.Comprehensively covers terahertz antennas, RIS, edge AI, and real-world deployment scenarios.Includes supplementary materials such as Python/MATLAB code, CST/HFSS simulation files, and curated datasets via a dedicated GitHub repository for reproducibility and practical learning.Ideal for graduate students, researchers, and industry professionals in wireless communications, antenna engineering, and AI applications.Also suited for instructors developing advanced courses on 6G, IoT, and smart antenna systems.
R 5,165.00
R 487.00
Bridging the Gap Between AI, Cognitive Science, and Narratology With Narrative Generation
The use of cognitive science in creating stories, languages, visuals, and characters is known as narrative generation, and it has become a trending area of study. Applying artificial intelligence (AI) techniques to story development has caught the attention of professionals and researchers; however, few studies have inherited techniques used in previous literary methods and related research in social sciences. Implementing previous narratology theories to current narrative generation systems is a research area that remains unexplored. Bridging the Gap Between AI, Cognitive Science, and Narratology With Narrative Generation is a collection of innovative research on the analysis of current practices in narrative generation systems by combining previous theories in narratology and literature with current methods of AI. The book bridges the gap between AI, cognitive science, and narratology with narrative generation in a broad sense, including other content generation, such as a novels, poems, movies, computer games, and advertisements. The book emphasizes that an important method for bridging the gap is based on designing and implementing computer programs using knowledge and methods of narratology and literary theories. In order to present an organic, systematic, and integrated combination of both the fields to develop a new research area, namely post-narratology, this book has an important place in the creation of a new research area and has an impact on both narrative generation studies, including AI and cognitive science, and narrative studies, including narratology and literary theories. It is ideally designed for academicians, researchers, and students, as well as enterprise practitioners, engineers, and creators of diverse content generation fields such as advertising production, computer game creation, comic and manga writing, and movie production.
R 8,159.31
Narrative and Generative AI
This second edition provides an overview of the principal problems, approaches, and challenges in modeling the narrative structure of stories. The book builds upon the prior edition by incorporating an additional focus on generative artificial intelligence and its applications for narratology. The author explains the computational representations of narrative elements, such as characters, events, causality, and time, proposing new methods for representing embedded narratives, fictional entities, tempo, and audience response. The book discusses the rise of generative AI systems, including large language models and transformers. The author explores the current applications of these systems and the extent to which they can be used to automate the cognitive aspects of narrative understanding and generation.
R 1,649.00
Empowering the Public Sector with Generative AI
This is your guide book to Generative AI (GenAI) and its application in addressing real-world challenges within the public sector. The book addresses a range of topics from GenAI concepts and strategy to public sector use cases, architecture patterns, and implementation best practices. With a general background in technology and the public sector, you will be able to understand the concepts in this book.The book will help you develop a deeper understanding of GenAI and learn how GenAI differs from traditional AI. You will explore best practices such as prompt engineering, and fine-tuning, and architectural patterns such as Retrieval Augmented Generation (RAG). And you will discover specific nuances, considerations, and strategies for implementation in a public sector organization. You will understand how to apply these concepts in a public sector setting and address industry-specific challenges and problems by studying a variety of use cases included in the book in the areas of content generation, chatbots, summarization, and program management. What You Will LearnGenAI concepts and how GenAI differs from traditional AI/ML Prompt engineering, fine-tuning, RAG, and customizing foundation modelsStrategy, methodologies, and frameworks for the public sectorPublic sector use cases in the areas of content generation, summarization, and chatbots, plus program management, analytics, business intelligence, and reportingArchitecture and design patterns Implementation, operations, and maintenance of GenAI applications Who This Book Is ForTechnology and business leaders in the public sector who are new to AI/ML and are keen on exploring and harnessing the potential of Generative AI in their respective organizations.
R 1,140.00
Generative AI with SAP and Amazon Bedrock
Explore Generative AI and understand its key concepts, architecture, and tangible business use cases. This book will help you develop the skills needed to use SAP AI Core service features available in the SAP Business Technology Platform.You’ll examine large language model (LLM) concepts and gain the practical knowledge to unleash the best use of Gen AI. As you progress, you’ll learn how to get started with your own LLM models and work with Generative AI use cases. Additionally, you’ll see how to take advantage Amazon Bedrock stack using AWS SDK for ABAP.To fully leverage your knowledge, Generative AI with SAP and Amazon Bedrock offers practical step-by-step instructions for how to establish a cloud SAP BTP account model and create your first GenAIartifacts. This work is an important prerequisite for those who want to take full advantage of generative AI with SAP.What You Will LearnMaster the concepts and terminology of artificial intelligence and GenAIUnderstand opportunities and impacts for different industries with GenAIBecome familiar with SAP AI Core, Amazon Bedrock, AWS SDK for ABAP and develop your firsts GenAI projectsAccelerate your development skillsGain more productivity and time implementing GenAI use casesWho this Book Is ForAnyone who wants to learn about Generative AI for Enterprise and SAP practitioners who want to take advantage of AI within the SAP ecosystem to support their systems and workflows.
R 1,026.00
Generative AI in Banking Financial Services and Insurance
This book explores the integration of Generative AI within the Banking, Financial Services, and Insurance (BFSI) sector, elucidating its implications, applications, and the future landscape of BFSI. The first part delves into the origins and evolution of Generative AI, providing insights into its mechanics and applications within the BFSI context. It goes into the core technologies behind Generative AI, emphasizing their significance and practical applications. The second part explores how Generative AI intersects with core banking processes, ranging from transactional activities to customer support, credit assessment, and regulatory compliance. It focuses on the digital transformation driving investment banking into the future. It also discusses AI’s role in algorithmic trading, client interactions, and regulatory adaptations. It analyzes AI-driven techniques in portfolio management, customer-centric solutions, and the next-generation approach to financial planning and advisory matters. The third part equips you with a structured roadmap for AI adoption in BFSI, highlighting the steps and the challenges. It outlines clear steps to assist BFSI institutions in incorporating Generative AI into their operations. It also raises awareness about the moral implications associated with AI in the BFSI sector. By the end of this book you will understand Generative AI’s present and future role in the BFSI sector. What You Will LearnKnow what Generative AI is and its applications in the BFSI sectorUnderstand deep learning and its significance in generative modelsAnalyze the AI-driven techniques in portfolio management and customer-centric solutionsKnow the future of investment banking and trading with AIKnow the challenges of integrating AI into the BFSI sector Who This Book Is ForProfessionals in the BFSI and IT sectors, including system administrators and programmers
R 1,482.00
R 916.00
Bridging the Gap Between AI, Cognitive Science, and Narratology With Narrative Generation
The use of cognitive science in creating stories, languages, visuals, and characters is known as narrative generation, and it has become a trending area of study. Applying artificial intelligence (AI) techniques to story development has caught the attention of professionals and researchers; however, few studies have inherited techniques used in previous literary methods and related research in social sciences. Implementing previous narratology theories to current narrative generation systems is a research area that remains unexplored. Bridging the Gap Between AI, Cognitive Science, and Narratology With Narrative Generation is a collection of innovative research on the analysis of current practices in narrative generation systems by combining previous theories in narratology and literature with current methods of AI. The book bridges the gap between AI, cognitive science, and narratology with narrative generation in a broad sense, including other content generation, such as a novels, poems, movies, computer games, and advertisements. The book emphasizes that an important method for bridging the gap is based on designing and implementing computer programs using knowledge and methods of narratology and literary theories. In order to present an organic, systematic, and integrated combination of both the fields to develop a new research area, namely post-narratology, this book has an important place in the creation of a new research area and has an impact on both narrative generation studies, including AI and cognitive science, and narrative studies, including narratology and literary theories. It is ideally designed for academicians, researchers, and students, as well as enterprise practitioners, engineers, and creators of diverse content generation fields such as advertising production, computer game creation, comic and manga writing, and movie production.
R 6,237.81
R 458.00
R 733.00
R 1,069.00
R 815.00
Generative Artificial Intelligence and Ethics: Standards, Guidelines, and Best Practices
The rapid advancement of generative artificial intelligence (AI) has brought about significant ethical challenges. As machines become more adept at creating human-like content, concerns about misuse, bias, privacy, and accountability have emerged. Without clear guidelines and regulations, there is a risk of unethical use, such as creating deepfake videos or disseminating misinformation, which could have severe societal consequences. Additionally, questions about intellectual property rights and the ownership of AI-generated creations still need to be solved, further complicating the ethical landscape. The book, Generative Artificial Intelligence and Ethics: Standards, Guidelines, and Best Practices , comprehensively solves these ethical challenges. By providing insights into the historical development and key milestones of Generative AI, the book lays a foundation for understanding its complex ethical implications. It examines existing ethical frameworks and proposes new ones tailored to AI's unique characteristics, helping readers apply traditional ethics to AI development and deployment. The book equips readers with the knowledge and tools needed to address these ethical considerations in AI development through in-depth discussions on bias, fairness, privacy, and security. It also explores the role of education in fostering responsible AI practices. It offers practical guidelines for ethical decision-making throughout the AI lifecycle. By promoting ethical awareness and providing actionable solutions, this book empowers readers to navigate the moral challenges of Generative AI, ensuring its responsible and beneficial use for society.
R 8,122.59
R 397.00
R 340.00
R 822.00
R 333.00
Engineering Generative AI-Based Software
Engineering Generative-AI Based Software discusses both the process of developing this kind of AI-based software and its architectures, combining theory with practice. Sections review the most relevant models and technologies, detail software engineering practices for such systems, e.g., eliciting functional and non-functional requirements specific to generative AI, explore various architectural styles and tactics for such systems, including different programming platforms, and show how to create robust licensing models. Finally, readers learn how to manage data, both during training and when generating new data, and how to use generated data and user feedback to constantly evolve generative AI-based software.As generative AI software is gaining popularity thanks to such models as GPT-4 or Llama, this is a welcomed resource on the topics explored. With these systems becoming increasingly important, Software Engineering Professionals will need to know how to overcome challenges in incorporating GAI into the products and programs they develop.
R 5,297.00
Introduction to Generative Design for Aerospace Applications
This book provides a comprehensive introduction to generative design in the aerospace sector, guiding readers from initial creative concepts to the final stages of manufacturing. It offers a thorough exploration of sustainable production methods, cutting-edge technological advancements, and the principles of generative design. With a focus on artificial intelligence's role in optimizing design and manufacturing, this book also delves into topology optimization, offering valuable insights for both newcomers and experienced professionals in the field. Through practical examples and a structured approach, readers will gain a solid understanding of the innovations shaping the future of aerospace design.
R 2,015.00
R 397.00
R 2,534.00
Next-Generation Smart Systems
This compilation of papers captures the essence of the International Conference on Smart Systems for Sustainable Development using Advanced Computational Techniques (ICSSA 2025). It provides a comprehensive exploration of how next-generation computing drives ecological and social resilience and highlights the pivotal role of intelligent automation and data-driven strategies in solving complex global challenges.It delves into the integration of Artificial Intelligence (AI), Internet of Things (IoT), and high-performance computing to create "green" technological ecosystems. This book covers a broad spectrum of research, including smart grid management, precision agriculture, carbon footprint optimization through machine learning, and the development of circular economy models via blockchain. By synthesizing theoretical frameworks with real-world case studies, the contributions illustrate how advanced algorithms can minimize resource waste while maximizing industrial efficiency. Together, these papers offer a roadmap for sustainable digital transformation across energy, healthcare, and urban planning sectors by emphasizing the shift toward "Cognitive Sustainability", where systems do not just automate tasks but actively learn to balance human needs with environmental constraints.This book is an essential resource for academic researchers, post-graduate students, and industry practitioners specializing in computer science and environmental engineering. It also serves policymakers and urban planners seeking data-backed strategies to implement sustainable technologies within smart city infrastructures and corporate ESG frameworks.
R 2,454.00
R 798.00
R 432.00
Building Natural Language Generation Systems
This book explains how to build Natural Language Generation (NLG) systems - computer software systems which use techniques from artificial intelligence and computational linguistics to automatically generate understandable texts in English or other human languages, either in isolation or as part of multimedia documents, Web pages, and speech output systems. Typically starting from some non-linguistic representation of information as input, NLG systems use knowledge about language and the application domain to automatically produce documents, reports, explanations, help messages, and other kinds of texts. The book covers the algorithms and representations needed to perform the core tasks of document planning, microplanning, and surface realization, using a case study to show how these components fit together. It also discusses engineering issues such as system architecture, requirements analysis, and the integration of text generation into multimedia and speech output systems.
R 5,624.09
R 550.00
R 580.00
R 358.00
System Design and Behavioral Intelligence
Master system design and behavioral interviews with practical frameworks, real-world design case studies, leadership storytelling techniques, and AI-assisted strategies for senior software engineering roles. Key FeaturesDesign scalable systems using modern architectures and real-world case studiesUse a structured framework for system design interviews, including Agentic AIDevelop Behavioral Intelligence to read the signals behind questionsMaster STAR-R and leadership storytelling for senior rolesGet a free PDF eBook with print or Kindle purchaseBook DescriptionDevelop the skills that matter most in modern software engineering by combining real-world system design with structured behavioral intelligence, the technical and human strengths that carry you through your work and your career.You start with the foundations, distributed systems, networking, scalability, security, databases, and architecture patterns, then work through full design walkthroughs, from a real-time bidding platform to an agentic AI system for investment research, weighing the trade-offs that shape real systems: performance, reliability, and availability, plus observability and the tools reshaping design in the AI era.On the behavioral side, you move beyond memorized answers. Turn real work into high-signal stories with STAR+R and a lasting story bank, speak the language of delivery and stakeholders through DORA and RACI, and learn the scorecard interviewers use to evaluate you. You also get guidance for Big Tech interviews, AI-assisted preparation, and strategies from technology leaders Shalini Goyal and Alok Sharan.By the end, you will approach both system design and behavioral interviews with confidence, communicate your decisions clearly, and show the technical and leadership qualities modern engineering demands.What you will learnApply a structured, repeatable approach to system designDesign scalable distributed systems with confidenceEvaluate architectural trade-offs for real systemsApply core design patterns and algorithmsDesign AI-native and agentic systemsBuild high-signal stories with STAR+R and a story bankCraft senior-level leadership and impact storiesLearn how Big Tech evaluates you, including the scorecardSpeak the language of DORA, RACI, and risk heatmapsUse AI to prepare, practice, and sharpen your storiesWho this book is forSoftware engineers, backend developers, senior developers, solution architects, engineering managers, executives and computer science students preparing for technical interviews will benefit from this book. It is also valuable for professionals targeting senior engineering roles at product companies and FAANG organizations. Readers should have a basic understanding of software development, data structures, algorithms, and object-oriented programming.
R 1,791.00
Second International Symposium on Generative AI and Education (ISGAIE’2025)
This book presents recent research on generative artificial intelligence (GenAI) and its transformative role in education. It constitutes the proceedings of the Second International Symposium on Generative AI and Education (ISGAIE'2025). The book explores recent advancements in GenAI technologies and their emerging impact on teaching and learning practices across educational contexts. Beyond practical applications and various use cases, the book addresses emerging challenges and opportunities, offering critical reflections on the ethical, pedagogical, and institutional implications of GenAI adoption in education. This book serves as a comprehensive reference for researchers, teachers, education designers, technology developers, and decision-makers who are working to rethink education using generative AI.
R 10,287.89
Generative Engine Optimization
Optimize your content for AI answer engines and protect your organic traffic As 77% of ChatGPT users now treat it like a search engine, traditional SEO alone no longer secures brand visibility. Generative Engine Optimization (GEO): The Definitive Guide to AI SEO, by Siege Media founder Ross Hudgens, is a practical guide to optimizing content for AI SEO and answer engines including ChatGPT, Google Gemini, Perplexity, and Claude so your brand appears positively in LLM-generated responses. Generative Engine Optimization (GEO) covers the practice of structuring content so it performs well inside LLM-powered systems that generate responses rather than retrieve links. Hudgens draws on experience driving organic growth for clients like Adidas, HubSpot, Instacart, and TripAdvisor to show how SEO practitioners and marketing leaders can modernize their search programs and drive measurable sales through AI SEO tools. Readers will also discover: Actionable strategies for increasing how often AI tools mention your brand positively in generated responsesTechniques for adapting existing SEO and content marketing workflows to account for LLM-driven search behaviorMethods to future-proof your organic growth program as traditional search engine traffic declines across industriesGuidance for marketing leaders on evaluating and implementing GEO practices across content, PR, and affiliate teamsReal-world approaches from an agency that has driven organic growth for blue-chip brands like Airbnb and HubSpot Ideal for SEO practitioners, marketing leaders at technology companies, CMOs, and content marketers, Generative Engine Optimization (GEO) provides the frameworks needed to modernize search programs, secure brand visibility inside AI answer engines, and stay ahead as consumer search behavior shifts toward large language models.
R 684.00
Deep Swarm and Evolution for Generative Artificial Intelligence
This book provides theoretical and practical knowledge about swarm and evolutionary approach of generative AI and Large Language Models (LLMs). The development of such tools contributes to better optimizing methodologies with the integration of several machinelearning and deep learning techniques. In particular, it discusses how the “emergence” concept can contribute to the improvement of AI.The book aims to model human cognitive f unction in terms of “emergence” and to explain the feasibility of AI. To this end, it focuses on human perceptions of “utility.” It describes the emergence of various cognitive errors, and irrational behaviours in the multiobjective situations. It also reviews the cognitive differences and similarities between humans and LLMs. Such studies are important when applying LLMs to real-world tasks that involve human cognition, e.g., financial engineering and market issues.The book describes the intelligent behaviour of living organisms. This is to clarify how to achieve AI in the direction of artificial life. It describes sexual selection, which is a well-known natural phenomenon that troubled Darwin, i.e., why evolutionarily useless items evolved such as peacock feathers and moose antlers etc. The book shows how sexual selection is extended as “novelty search” for the application of generative AI, i.e., the image generation with diffusion model. Real-world applications are emphasised. Empirical examples from real-world data show how the concept of deep swarm and evolution is successfully applied when addressing tasks from such recent fields as robotics, e-commerce Web Shop and image generation etc.
R 8,143.64
R 611.00
R 763.00
R 1,590.01
R 1,275.77
R 306.00
R 611.00
R 1,588.00
Trust in Generative Artificial Intelligence
Trust in Generative Artificial Intelligence: Human‑Robot Interaction and Ethical Considerations is a comprehensive exploration of the critical role of trust in the rapidly evolving world of AI. Edited by Joanna Paliszkiewicz, Ireneusz Dąbrowski, and Leila Halawi, this book provides a thorough examination of how trust influences the integration and effectiveness of generative AI in various aspects of society. The book spans three main sections, offering insights from international experts across multiple disciplines and a blend of theoretical foundations and practical insights, making it a valuable resource for both understanding and implementing trust in AI systems. Readers will benefit from in‑depth analyses of emerging trends, systematic literature reviews, and case studies on trust in diverse contexts, from social media to healthcare. The focus on human‑robot interaction and ethical considerations provides a nuanced understanding of the psychological and ethical factors at play. Aimed at researchers, practitioners, and policymakers interested in AI, ethics, and human‑robot interaction, this edited collection is also suitable for educators and students in fields related to AI and technology, providing a comprehensive resource for academic study and practical application.
R 9,307.92
