Search results for "Generative AI Engineering"
Items we need to order for you
Generative AI in Education
This book delves into the transformative role of generative artificial intelligence (GenAI) in the educational sector. It offers a multifaceted exploration of how GenAI is reshaping teaching and learning processes. Emphasizing the importance of preparing for a future where AI is deeply integrated into education, this book discusses how educators and institutions can adapt to and shape this rapidly changing landscape. By providing a holistic view of the current state and future potential of GenAI in education, it also bridges the gap between technological advancements and practical educational applications, and offers insights into both the opportunities and challenges presented by AI in learning environments. This book serves as a crucial resource for educators, technologists, and policymakers, guiding them in understanding and leveraging AI's power in education.
R 8,679.94
R 1,496.00
R 1,019.00
R 1,397.00
R 764.00
Generation AI
A clear, practical guidebook to being a parent and professional in a world transformed by AI In Generation AI, lifelong entrepreneur, futurist, and consumer trend expert Matt Britton explores how artificial intelligence is reshaping society, from consumer behavior to education, work, relationships, and health. As the first generation born into an AI-enabled world, Generation Alpha will experience a paradigm shift in lifestyle and career paths. Britton examines the unprecedented opportunities AI presents: personalized learning, advancements in healthcare, and automated consumer experiences and processes. Britton also confronts ethical and societal challenges, from privacy issues and economic disparity to the potential impact on mental health and job displacement. Balancing optimism with caution, Britton offers a forward-looking guide for leaders, parents, and individuals on how to navigate a future where AI drives cultural and economic transformation. Generation AI explores timely topics including: Consumer Behavior: AI-driven, personalized shopping and the role of the creator economy in capturing mindshareEducation: Exploring the future of education and the need for learnings to reinvent itself from a curriculum centered on memorization to one focused on problem solving and creativityWork & Career: A deep dive into the AI powered developments driving disruption in the workplace and uncovering the skill sets needed to thriveMental Health & Relationships: Examines AI's potential to both connect and isolate, impacting human interaction.Ethics & Privacy: The need for AI guardrails to protect privacy and ensure fairness amid rapid technological advances. Generation AI is a comprehensive and highly practical guide for all individuals looking to future proof themselves in this brave new world—especially Millennial parents, who are raising the first AI generation, grappling with the disruption of AI in their own lives, and seeking to understand the next stages of our technological evolution.
R 684.00
R 519.00
R 214.00
R 763.00
AI Systems Performance Engineering
Elevate your AI system performance capabilities with this definitive guide to unlocking peak efficiency across every layer of your AI infrastructure. In today's era of ever-growing generative models, AI Systems Performance Engineering equips professionals with actionable strategies to co-optimize hardware, software, and algorithms for high-performance and cost-effective AI systems. Authored by Chris Fregly, a performance-focused engineering and product leader, this comprehensive resource transforms complex systems into streamlined, high-impact AI solutions. Inside, you'll discover step-by-step methodologies for fine-tuning GPU CUDA kernels, PyTorch-based algorithms, and multinode training and inference systems. You'll also master the art of scaling GPU clusters for high performance, distributed model training jobs, and inference servers. Codesign and optimize hardware, software, and algorithms to achieve maximum throughput and cost savingsImplement cutting-edge inference strategies that reduce latency and boost throughput in real-world settingsUtilize industry-leading scalability tools and frameworksProfile, diagnose, and eliminate performance bottlenecks across complex AI pipelinesIntegrate full stack optimization techniques for robust, reliable AI system performance Whether you're an engineer, researcher, or developer, AI Systems Performance Engineering gives you a holistic roadmap for building resilient, scalable, and cost-effective AI systems that excel in both training and inference.
R 2,473.00
R 703.00
R 702.00
R 458.00
R 428.00
R 1,221.00
R 762.00
Generative AI and Generative AI of Things for Sustainable Smart Cities
This pioneering book invites readers on a compelling journey into Generative Artificial Intelligence (AI) and its groundbreaking convergence with AI of Things (AIoT), introducing GAIoT as a transformative frontier in urban computing and intelligence. GAIoT signals a paradigm shift towards more intelligent, self-learning, self-evolving, and context-aware systems—capable of generating adaptive, forward-looking solutions to the complex infrastructuraland environmental challenges confronting sustainable smart cities.With its combination of theoretical depth, applied innovation, and interdisciplinary scope, the book offers a comprehensive examination of deep generative models—namely Generative Adversarial Networks, Variational Autoencoders, Diffusion Models, Transformers, and hybrid architectures—and their applications in environmental sustainability, climate resilience, infrastructure optimization, dynamic decision-making, and data-driven urban management and planning. From synthetic data generation, data augmentation, and data imputation to predictive modeling and scenario simulation, GAIoT is driving the next wave of climate-responsive, environmentally conscious smart city innovation.What sets this book apart is its first-of-its-kind focus on GAIoT as a pathbreaking force in shaping the future of sustainable urban development. It delivers actionable insights, conceptual and operational frameworks, case studies, and policy guidance—equipping diverse stakeholders with the tools to build cities that not only respond to change but also anticipate and shape it. Targeting a broad and cross-disciplinary audience, the book shares state-of-the-art research, presents innovative solutions, and forecasts future trends in urban transformation. As both a seminal reference and a practical resource for researchers, technologists, practitioners, professionals, and policymakers, it provides essential guidance for those engaged in advancing the next frontier in urban computing and intelligence.
R 11,182.64
Engineering Artificially Intelligent Systems
Many current AI and machine learning algorithms and data and information fusion processes attempt in software to estimate situations in our complex world of nested feedback loops. Such algorithms and processes must gracefully and efficiently adapt to technical challenges such as data quality induced by these loops, and interdependencies that vary in complexity, space, and time.To realize effective and efficient designs of computational systems, a Systems Engineering perspective may provide a framework for identifying the interrelationships and patterns of change between components rather than static snapshots. We must study cascading interdependencies through this perspective to understand their behavior and to successfully adopt complex system-of-systems in society. This book derives in part from the presentations given at the AAAI 2021 Spring Symposium session on Leveraging Systems Engineering to Realize Synergistic AI / Machine Learning Capabilities. Its 16 chapters offer an emphasis on pragmatic aspects and address topics in systems engineering; AI, machine learning, and reasoning; data and information fusion; intelligent systems; autonomous systems; interdependence and teamwork; human-computer interaction; trust; and resilience.
R 2,745.33
Unlocking Data with Generative AI and RAG
Leverage cutting-edge generative AI techniques such as RAG to realize the potential of your data and drive innovation as well as gain strategic advantageKey FeaturesOptimize data retrieval and generation using vector databasesBoost decision-making and automate workflows with AI agentsOvercome common challenges in implementing real-world RAG systemsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionGenerative AI is helping organizations tap into their data in new ways, with retrieval-augmented generation (RAG) combining the strengths of large language models (LLMs) with internal data for more intelligent and relevant AI applications. The author harnesses his decade of ML experience in this book to equip you with the strategic insights and technical expertise needed when using RAG to drive transformative outcomes.The book explores RAG’s role in enhancing organizational operations by blending theoretical foundations with practical techniques. You’ll work with detailed coding examples using tools such as LangChain and Chroma’s vector database to gain hands-on experience in integrating RAG into AI systems. The chapters contain real-world case studies and sample applications that highlight RAG’s diverse use cases, from search engines to chatbots. You’ll learn proven methods for managing vector databases, optimizing data retrieval, effective prompt engineering, and quantitatively evaluating performance. The book also takes you through advanced integrations of RAG with cutting-edge AI agents and emerging non-LLM technologies.By the end of this book, you’ll be able to successfully deploy RAG in business settings, address common challenges, and push the boundaries of what’s possible with this revolutionary AI technique.What you will learnUnderstand RAG principles and their significance in generative AIIntegrate LLMs with internal data for enhanced operationsMaster vectorization, vector databases, and vector search techniquesDevelop skills in prompt engineering specific to RAG and design for precise AI responsesFamiliarize yourself with AI agents' roles in facilitating sophisticated RAG applicationsOvercome scalability, data quality, and integration issuesDiscover strategies for optimizing data retrieval and AI interpretabilityWho this book is forThis book is for AI researchers, data scientists, software developers, and business analysts looking to leverage RAG and generative AI to enhance data retrieval, improve AI accuracy, and drive innovation. It is particularly suited for anyone with a foundational understanding of AI who seeks practical, hands-on learning. The book offers real-world coding examples and strategies for implementing RAG effectively, making it accessible to both technical and non-technical audiences. A basic understanding of Python and Jupyter Notebooks is required.
R 1,465.00
R 1,641.09
Engineering Intelligent Systems
Engineering Intelligent Systems Exploring the three key disciplines of intelligent systems As artificial intelligence (AI) and machine learning technology continue to develop and find new applications, advances in this field have generally been focused on the development of isolated software data analysis systems or of control systems for robots and other devices. By applying model-based systems engineering to AI, however, engineers can design complex systems that rely on AI-based components, resulting in larger, more complex intelligent systems that successfully integrate humans and AI. Engineering Intelligent Systems relies on Dr. Barclay R. Brown’s 25 years of experience in software and systems engineering to propose an integrated perspective to the challenges and opportunities in the use of artificial intelligence to create better technological and business systems. While most recent research on the topic has focused on adapting and improving algorithms and devices, this book puts forth the innovative idea of transforming the systems in our lives, our societies, and our businesses into intelligent systems. At its heart, this book is about how to combine systems engineering and systems thinking with the newest technologies to design increasingly intelligent systems. Engineering Intelligent Systems readers will also find: An introduction to the fields of artificial intelligence with machine learning, model-based systems engineering (MBSE), and systems thinking—the key disciplines for making systems smarter An example of how to build a deep neural network in a spreadsheet, with no code or specialized mathematics required An approach to the visual representation of systems, using techniques from moviemaking, storytelling, visual systems design, and model-based systems engineering An analysis of the potential ability of computers to think, understand and become conscious and its implications for artificial intelligence Tools to allow for easier collaboration and communication among developers and engineers, allowing for better understanding between stakeholders, and creating a faster development cycle A systems thinking approach to people systems—systems that consist only of people and which form the basis for our organizations, communities and society Engineering Intelligent Systems offers an intriguing new approach to making systems more intelligent using artificial intelligence, machine learning, systems thinking, and system modeling and therefore will be of interest to all engineers and business professionals, particularly systems engineers.
R 4,396.00
Innovations and Sustainability in Civil Engineering: Shaping Tomorrow’s Infrastructure Volume 5
This book represents a seminal collection of advanced research, novel methodologies, and transformative practices within the domains of water resources engineering, hydraulic engineering, and hydrology, with a strong emphasis on the integration of artificial intelligence and machine learning (AI/ML) in civil engineering.This book embodies the progressive vision and interdisciplinary dialogue of a global academic and professional community committed to revolutionizing water infrastructure and management systems for a resilient and sustainable future. The compendium explores contemporary issues and scientific breakthroughs across a diverse range of topics such as hydrologic modeling, flood forecasting and mitigation, watershed management, groundwater assessment, climate-resilient water infrastructure, and urban storm water systems. It offers comprehensive insights into the design and optimization of hydraulic structures, sediment transport dynamics, erosion control, river engineering, and eco-hydraulics. Special attention is given to sustainable water resource planning, water quality modeling, and integrated water management strategies, reflecting the urgent need for adaptive solutions in the face of climate change and urban expansion.A significant dimension of this volume is the exploration of AI/ML-driven approaches in civil and water resources engineering. Contributions demonstrate how machine learning algorithms, deep learning models, and data-driven techniques are revolutionizing flood prediction, rainfall-runoff modeling, real-time monitoring, water distribution networks, and decision support systems. These innovations enable more accurate forecasting, enhanced system efficiency, and informed policy making. Serving as an essential reference for researchers, academicians, industry professionals, and policymakers, this book offers a deep dive into state-of-the-art technologies and sustainable practices shaping the next generation of water infrastructure. The breadth and depth of its contributions provide actionable knowledge and strategic insights, fostering a sustainable, data-smart approach to water and hydraulic systems in a rapidly evolving environmental and technological landscape.
R 10,483.24
Adversarial Deep Generative Techniques for Early Diagnosis of Neurological Conditions and Mental Health Practises
This book explores a pioneering exploration of how deep generative models, including generative adversarial networks (GANs) and variational autoencoders (VAEs), renovating early neurological disorder detection. This book is a bridge between computational neuroscience and clinical neurology gaps, providing novel AI-driven methodologies for diagnosing conditions such as Alzheimer’s, Parkinson’s, epilepsy, and neurodevelopmental disorders. With a strong focus on neuroimaging, genomic data analysis, and biomedical informatics, the book equips researchers and practitioners with the tools to improve diagnostic accuracy and decision-making. It includes practical case studies, visual illustrations, and structured methodologies for training and validating deep learning models. Designed for neurologists, radiologists, data scientists, and AI researchers, this book is an essential resource for advancing precision medicine and next-generation healthcare innovation.
R 9,402.17
Generative AI and Generative AI of Things for Sustainable Smart Cities
This pioneering book invites readers on a compelling journey into Generative Artificial Intelligence (AI) and its groundbreaking convergence with AI of Things (AIoT), introducing GAIoT as a transformative frontier in urban computing and intelligence. GAIoT signals a paradigm shift towards more intelligent, self-learning, self-evolving, and context-aware systems—capable of generating adaptive, forward-looking solutions to the complex infrastructuraland environmental challenges confronting sustainable smart cities.With its combination of theoretical depth, applied innovation, and interdisciplinary scope, the book offers a comprehensive examination of deep generative models—namely Generative Adversarial Networks, Variational Autoencoders, Diffusion Models, Transformers, and hybrid architectures—and their applications in environmental sustainability, climate resilience, infrastructure optimization, dynamic decision-making, and data-driven urban management and planning. From synthetic data generation, data augmentation, and data imputation to predictive modeling and scenario simulation, GAIoT is driving the next wave of climate-responsive, environmentally conscious smart city innovation.What sets this book apart is its first-of-its-kind focus on GAIoT as a pathbreaking force in shaping the future of sustainable urban development. It delivers actionable insights, conceptual and operational frameworks, case studies, and policy guidance—equipping diverse stakeholders with the tools to build cities that not only respond to change but also anticipate and shape it. Targeting a broad and cross-disciplinary audience, the book shares state-of-the-art research, presents innovative solutions, and forecasts future trends in urban transformation. As both a seminal reference and a practical resource for researchers, technologists, practitioners, professionals, and policymakers, it provides essential guidance for those engaged in advancing the next frontier in urban computing and intelligence.
R 3,636.34
R 872.00
R 713.00
Artificial Intelligence and Cloud Computing Applications in Biomedical Engineering
Biomedical engineering is undergoing a transformation because of AI, which is allowing creative solutions that enhance patient outcomes, diagnosis, treatment planning, and healthcare delivery. Artificial Intelligence and Cloud Computing Applications in Biomedical Engineering examines the salient characteristics of AI in biomedical engineering, highlighting its practical applications and new directions. Highlights of the book include:Genome sequence and visualizationThe role of AI and cloud in detection of diseasesNature-inspired algorithms for disease detectionFrameworks for disease classificationWith a focus on designing AI techniques for disease detection, the book explores the role of AI in biomedical engineering. It discusses how machine learning (ML) and deep learning (DL) are at the heart of AI applications in biomedical engineering. ML algorithms, particularly those based on neural networks, enable computers to learn from large datasets, identify patterns, and make predictions or decisions without explicit programming, and implementing ML algorithms is a focus of the book. Another focus is on DL, a subset of ML, and how it uses multi-layered neural networks to achieve high accuracy in such complex tasks as image and speech recognition. Biomedical engineering generates massive amounts of data from medical imaging, genomic sequencing, wearable devices, electronic health records (EHR), and other sources. This book also discusses AI-driven big data analytics, which allows researchers and clinicians to derive from data meaningful insights, aiding in early disease detection, personalized treatment plans, and patient monitoring.
R 8,107.14
Modern Generative AI with ChatGPT and OpenAI Models
Harness the power of AI with innovative, real-world applications, and unprecedented productivity boosts, powered by the latest advancements in AI technology like ChatGPT and OpenAIPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesExplore the theory behind generative AI models and the road to GPT3 and GPT4Become familiar with ChatGPT's applications to boost everyday productivityLearn to embed OpenAI models into applications using lightweight frameworks like LangChainBook DescriptionGenerative AI models and AI language models are becoming increasingly popular due to their unparalleled capabilities. This book will provide you with insights into the inner workings of the LLMs and guide you through creating your own language models. You'll start with an introduction to the field of generative AI, helping you understand how these models are trained to generate new data. Next, you'll explore use cases where ChatGPT can boost productivity and enhance creativity. You'll learn how to get the best from your ChatGPT interactions by improving your prompt design and leveraging zero, one, and few-shots learning capabilities. The use cases are divided into clusters of marketers, researchers, and developers, which will help you apply what you learn in this book to your own challenges faster. You'll also discover enterprise-level scenarios that leverage OpenAI models' APIs available on Azure infrastructure; both generative models like GPT-3 and embedding models like Ada. For each scenario, you'll find an end-to-end implementation with Python, using Streamlit as the frontend and the LangChain SDK to facilitate models' integration into your applications. By the end of this book, you'll be well equipped to use the generative AI field and start using ChatGPT and OpenAI models' APIs in your own projects.What you will learnUnderstand generative AI concepts from basic to intermediate levelFocus on the GPT architecture for generative AI modelsMaximize ChatGPT's value with an effective prompt designExplore applications and use cases of ChatGPTUse OpenAI models and features via API callsBuild and deploy generative AI systems with PythonLeverage Azure infrastructure for enterprise-level use casesEnsure responsible AI and ethics in generative AI systemsWho this book is forThis book is for individuals interested in boosting their daily productivity; businesspersons looking to dive deeper into real-world applications to empower their organizations; data scientists and developers trying to identify ways to boost ML models and code; marketers and researchers seeking to leverage use cases in their domain – all by using Chat GPT and OpenAI Models.A basic understanding of Python is required; however, the book provides theoretical descriptions alongside sections with code so that the reader can learn the concrete use case application without running the scripts.
R 1,693.00
R 458.00
R 1,221.00
New Paradigm in AI and Concurrent Engineering
This book includes research papers presented at the International Conference on AI and Concurrent Engineering (AICE 2025) to be held at IIMT, Bhubaneswar, India, during August 23 – 24, 2025. The proceedings documents how AI systems analyse vast datasets, predict outcomes, and offer strategic insights by leveraging both historical and real-time information. The proceedings also explores how AI-driven predictive maintenance and quality control are transforming post-production processes.
R 13,436.06
R 1,535.56
R 763.00
Research Perspectives on Software Engineering and Systems Design
This book combines cutting-edge research addressing current challenges and emerging opportunities in computing, artificial intelligence, sustainability, and education. Through interdisciplinary insights, readers will discover novel computational frameworks designed to enhance cybersecurity, optimise energy systems, and advance interactive technologies such as chatbots, virtual reality, and gaming for medical rehabilitation. Each chapter demonstrates innovative methodologies--from advanced AI-driven complex data analyses to sophisticated mathematical models addressing real-world problems. The studies highlight how data science, machine learning, and computational intelligence can boost organisational efficiency, support sustainable development, and significantly enhance human-computer interaction. Ideal for researchers, industry experts, educators, and advanced students, this resource provides valuable perspectives on practical applications and theoretical advancements essential for staying ahead in rapidly evolving technological fields.
R 9,158.00
Advancement in Animal Handling and Generative AI for Pre-clinical Studies
AYUSH encompasses traditional Indian medical systems like Ayurveda, Yoga, Naturopathy, Unani, Siddha, and Homeopathy. The CCRAS, funded by AYUSH, supports research programs to scientifically validate traditional medicine’s effi□cacy. India’s Ministry of AYUSH promotes and regulates these practices, aiming for their integration into modern healthcare while preserving their cultural signifi□cance. Centurion University of Technology and Management (CUTM), established in 2010, offers quality education across various fields. Noteworthy for its holistic approach, CUTM emphasizes practical skills, industry collaboration, and societal contributions. It’s School of Pharmacy and Life Sciences, along with the School of Paramedics and Allied Health Sciences, lead in providing quality healthcare educa□tion, maintaining robust ecosystems to bolster healthcare facilities
R 7,572.93
R 306.00
R 1,628.00
R 489.00
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
