Search results for "Generative AI for Manufacturing"
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R 1,832.00
Gen AI Manufacturing Revolution
Transformative insights and advice to reduce downtime, navigate disruptions, and improve efficiency The Gen AI Manufacturing Revolution highlights how generative and agentic artificial intelligence are transforming manufacturing processes, driving innovation, and reshaping the way we work. Implementing AI in manufacturing comes with unique challenges, such as integrating AI with physical machinery, managing intricate supply chains, and ensuring regulatory compliance. This book addresses these challenges, helping you harness AI's potential while navigating its complexities. With tailored strategies and use cases, the book demonstrates how to unlock the power of Gen AI, from automating routine tasks to enabling better decision-making. You'll learn to build an AI-ready workforce, overcome common challenges in adoption, drive value across the organization, and maintain accountability. Leverage generative AI to streamline product design, boost creativity, and accelerate innovationDeploy agentic AI systems to autonomously manage workflows, monitor performance, and support complex decision-makingBuild an AI-ready workforce capable of collaborating with intelligent systemsAddress ethical, operational, and cultural challenges in AI adoptionDrive enterprise-wide value while maintaining transparency and accountability Whether you're looking to reduce downtime, enhance efficiency, or stay ahead of disruptive change, this book is your essential guide to leading the next wave of industrial transformation through AI.
R 730.00
Advances in Artificial Intelligence in Manufacturing II
This open access book reports on recent developments of artificial intelligence applications in the manufacturing industry. Gathering contributions to the second European Symposium on Artificial Intelligence in Manufacturing, held on October 16, 2024, in Athens, Greece, it reports on machine learning, deep learning and generative AI models for process monitoring, optimization, and control, flexible and precise industrial robots, human-robot collaboration, data management and information technologies, digital twins, data augmentation and synthetic data. Giving a special emphasis to the integration of artificial intelligence in manufacturing systems, automation and processes, this book offers a timely and practice-oriented guide to a multidisciplinary audience of engineering researchers, system developers, AI scientists and industrial managers.
R 2,198.00
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R 824.00
Building Generative AI Solutions for Industry with AWS
Building Generative AI Solutions for Industry with AWS is a comprehensive guide for developers, and data scientists aiming to harness the power of Generative AI across a range of industrial domains using Amazon Web Services. This hands-on book provides readers with the knowledge and practical skills to design, secure, govern, and deploy GenAI solutions effectively in real-world environments. The book begins with an introduction to the fundamentals of Generative AI and the AI/ML services offered by AWS. Readers will explore industry use cases and learn how to kick-start their journey building GenAI applications on the AWS cloud. It focuses on security and governance, covering essential practices for data privacy, access control, encryption, compliance, and ethical AI deployment. Each chapter then dives deep into specific industry applications--automotive, manufacturing, healthcare, financial services, and media & entertainment. From autonomous driving and predictive maintenance to fraud detection and content creation, readers will learn how GenAI is transforming operations and unlocking new opportunities in these fields. The book also addresses cost management strategies for GenAI on AWS, offering guidance on optimizing resources and budgeting efficiently. Concluding with future possibilities and implementation best practices, this book equips professionals with the tools and insights to build scalable, secure, and compliant GenAI systems tailored to their domain. What you will learn: Understand the fundamentals of Generative AI and AWS AI/ML services.How to build and deploy secure, compliant GenAI applications on AWS.Explore real-life GenAI use cases across industries like automotive, healthcare, and finance.Gain insights into managing GenAI costs and optimizing AWS resources. Who this book is for: Software developers, machine learning engineers, data scientists, and cloud architects who want to build real-life Generative AI solutions using AWS.
R 2,417.79
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R 10,235.64
AI for Advanced Manufacturing and Industrial Applications
This book provides a deep dive into the applications of Artificial Intelligence (AI) in advanced manufacturing and intelligent autonomous systems. Through real-world use cases and cutting-edge insights, it examines how AI, machine learning, IoT, and Industry 5.0 are revolutionizing manufacturing processes from end to end.Discover how integrating AI technologies with data analytics and IoT can unlock smarter, more efficient, and adaptable manufacturing solutions. Learn how predictive algorithms can foresee equipment failures, optimize inventory in real time, and enable autonomous robots to handle complex tasks, from assembly to logistics. With these innovations, manufacturers can achieve new levels of productivity, drive innovation, and create future-ready business models.Designed for industry practitioners, decision-makers, and aspiring professionals, this comprehensive guide offers actionable strategies and practical insights for implementing AI in advanced manufacturing. Whether you’re a leader seeking to modernize operations or a graduate student aiming to enter this dynamic field, this book will empower you to navigate and leverage the next frontier of industrial innovation.
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R 8,558.43
Industry Applications of Thrust Manufacturing
In manufacturing, entrenched challenges like costly maintenance, operational inefficiencies, and product defects loom large, casting shadows over industry progress. Despite the promise of Industry 4.0 and the proliferation of data-driven technologies, many enterprises need help to effectively harness the transformative power of artificial intelligence (AI). The gap between AI's potential and its practical application persists, hindering manufacturing companies from achieving optimal efficiency, competitiveness, and sustainability. Industry Applications of Thrust Manufacturing: Convergence with Real-Time Data and AI is a groundbreaking book meticulously crafted to address the pressing needs of academic scholars and industry professionals. Offering a nuanced exploration of AI's role in revolutionizing manufacturing, this book serves as a beacon of clarity amidst the complexities of modern industrial landscapes. Through meticulous research, real-world case studies, and expert insights, readers will embark on a transformative journey, unraveling the intricacies of predictive maintenance, demand forecasting, quality assurance, and beyond. With a strategic focus on AI's applications across manufacturing phases and sub-sectors, coupled with in-depth discussions on emerging technologies like machine learning, deep learning, and natural language processing, this book equips readers with the knowledge and tools to confidently navigate the evolving landscape of Industry 4.0. Whether seeking to optimize operational workflows, mitigate risks, or unlock untapped opportunities, this definitive guide offers invaluable insights and actionable strategies to propel manufacturing enterprises into a future of innovation, efficiency, and sustainable growth.
R 14,064.61
Artificial Intelligence and Robotics in Manufacturing
Artificial intelligence (AI) is revolutionizing the manufacturing industry by automating tasks at a speed, scale and scope that far surpass human capabilities. As AI continues to advance, it is clear that the future of manufacturing will be driven by intelligent systems. These systems have the potential to transform the way products are made, improving efficiency and quality across the board. AI is paving the way for a new era of manufacturing, where innovation and automation go hand in hand.Artificial Intelligence and Robotics in Manufacturing: A Sustainable Future offers a comprehensive exploration of the scientific and technological advancements in robotics-based manufacturing. This book delves into a variety of topics, including applications in the aerospace, nuclear and medical industries. Emphasizing the use of advanced AI-based robotics, this book highlights recent breakthroughs in manufacturing techniques, specifically focusing on AI applications in fabrication and machining. Additionally, it examines the rapid evolution of AI technology and addresses cost-effective solutions within the manufacturing sector.Overall, this book provides valuable insights into the intersection of AI and robotics in manufacturing, offering a glimpse into the exciting possibilities for the future of this industry and allowing this book to serve as a valuable source for academics, researchers in manufacturing, computational scientists, mechanical engineers, systems engineers, manufacturing engineers and professionals in industries related to AI and manufacturing.
R 5,630.10
Artificial Intelligence in Manufacturing
This open access book presents a rich set of innovative solutions for artificial intelligence (AI) in manufacturing. The various chapters of the book provide a broad coverage of AI systems for state of the art flexible production lines including both cyber-physical production systems (Industry 4.0) and emerging trustworthy and human-centered manufacturing systems (Industry 5.0). From a technology perspective, the book addresses a wide range of AI paradigms such as deep learning, reinforcement learning, active learning, agent-based systems, explainable AI, industrial robots, and AI-based digital twins. Emphasis is put on system architectures and technologies that foster human-AI collaboration based on trusted interactions between workers and AI systems. From a manufacturing applications perspective, the book illustrates the deployment of these AI paradigms in a variety of use cases spanning production planning, quality control, anomaly detection, metrology, workers’ training, supply chain management, as well as various production optimization scenarios.This is an open access book.
R 1,832.00
Generative AI
Generative AI (GenAI) is the hottest new area of AI, accelerating innovations affecting all industries and showcasing AI’s ability to present human-like language capabilities with large language models (LLMs). This book builds a solid foundation for the technology underlying GenAI Models, LLM, and foundation and reasoning models for the No-Code audience by explaining the models' workings in simple English. It then takes the reader on a journey to find out where there are gaps to innovate. Each chapter outlines the state of research in each topic and invites learners to build on this research to think about ethical implications and balance it with innovation to benefit everyone. The author covers the technological, product, and societal impact of Generative AI to give a comprehensive guide for this important technology. This book will help the data scientist, product manager, and business leader alike because it covers the API economy and critical industries impacted and offers a framework to think about automation and jobs impacted and what competencies are needed to excel in GenAI and offers an in-depth guide to build GenAI products and applications.
R 5,890.24
Artificial General Intelligence and Circular Manufacturing in Industry 5.0
Organizations have a pressing need for sustainable industrialization that minimizes waste, reduces environmental impacts, and promotes resource efficiency, all while embracing Artificial Intelligence (AI) technological advancements. Covering theoretical and practical dimensions, the book addresses issues that industries encounter when AI is being implemented within their assembly lines from ethical considerations to labor transformation struggles as well as technical limitations and challenges related with data management. The chapters discuss ideas related to automation, predictive maintenance and reducing wastage; and how we can overcome the issues of these through solutions. Topics range from the intersection of AGI with sustainable innovation and how to engineer smart production systems, to a shift towards regenerative design principles.The main theme of the book is to narrow down this gap between such advanced technologies and real-time applications based on Circular Economy. The publication comes at an important time when there is a pressing global imperative to reduce environmental impact without compromising on economic competitiveness.The research presented here is relevant for industry professionals, policymakers, and academic researchers, as it explains the perspectives on the convergence of AGI and circular manufacturing, providing readers with the tools they need to drive forward Industry 5.0 innovations and lead the shift toward a more sustainable future.
R 4,641.00
Applications of AI in Smart Technologies and Manufacturing
Applications of AI in Smart Technologies and Manufacturing presents a rich repository of groundbreaking research in emerging engineering domains. With contributions from eminent educators, industrialists, scientists and researchers, this book highlights the transformative role of AI and smart technologies in enhancing community welfare and shaping the future of manufacturing and engineering practices.This title comprises a selection of papers that reflect a global exchange of ideas in digital manufacturing, advanced machining processes, bioengineering, tribology, smart materials, IoT applications, energy storage, smart cities, robotics, and AI applications in healthcare. With special emphasis on optimization algorithms, virtual and augmented reality in automation, and smart energy technologies, this volume delves into ways in which rapid technological advancements are breaking traditional barriers in education, research, and industrial applications.This is a resourceful guide for researchers, academicians, engineers, industrial practitioners, and graduate students in the domains of mechanical engineering, smart technologies, artificial intelligence, and automation. It is also highly relevant to decision-makers and R&D professionals focused on applying AI and smart solutions to achieve sustainable innovation in engineering and technology.
R 10,162.52
Digitalization and Sustainable Manufacturing
The manufacturing industry is facing massive changes driven by digitalization and sustainability. It is being redefined to meet the UN SDGs with the creation of new materials, processes and machinery. The drive for digitalization in order to use resources more effectively and efficiently adds to the complexity of this twin transition. This book presents results from 8 years of research with 15 industry partners, following the transition towards a digitalized industry 4.0 manufacturing and sustainable manufacturing paradigm.The selected chapters demonstrate how globally competitive manufacturing in high-cost countries such as Norway is enabled by AI-supported intelligent and flexible automation and the use of digital twins, as well as human-centred manufacturing. This book describes the interactions in innovative and sustainable organizations and changes in materials, products and processes, digital twins and AI-supported automated manufacturing processes. Supported by case studies and reflections from the manufacturing industry, this book evaluates how the combination of digitalization and sustainability enables competitiveness. With a focus on multi-material products and processes, robust and flexible automation and innovative and sustainable organizations, it provides a multi-disciplinary insight into the challenges and opportunities faced by manufacturing industries over time.This book serves as an ideal reference for researchers, scholars and policymakers in manufacturing, production and operations, with a particular interest in technology and sustainability.
R 2,381.00
Applications of Artificial Intelligence in Additive Manufacturing
After the recent launch of home-based personal 3D printers as well as government funding and company investments in advancing manufacturing initiatives, additive manufacturing has rapidly come to the forefront of discussion and become a more approachable lucrative career of particular interest to the younger generation. It is essential to identify the long-term competitive advantages and how to teach, inspire, and create a resolute community of supporters, learners, and new leaders in this important industry progression. Applications of Artificial Intelligence in Additive Manufacturing provides instruction on how to use artificial intelligence to produce additively manufactured parts. It discusses an overview of the field, the strategic blending of artificial intelligence and additive manufacturing, and features case studies on the various emerging technologies. Covering topics such as artificial intelligence models, experimental investigations, and online detections, this book is an essential resource for engineers, manufacturing professionals, computer scientists, AI scientists, researchers, educators, academicians, and students.
R 7,910.21
Intelligent Manufacturing
The field of industrial engineering has undergone a transformation in recent years, driven by emerging technologies such as Artificial Intelligence (AI), Machine Learning, and the Internet of Things (IoT). To keep pace with these advancements, a shift toward AI-driven development has become a necessity.From case studies to national and international best practices, Intelligent Manufacturing: Exploring AI, Blockchain, and Smart Technologies in Industry 4.0 delves into the challenges of incorporating AI-driven frameworks and standards into the smart industry landscape. It explores the integration of these advanced technologies into Industry 4.0 and presents a comprehensive overview of their potential impact on industrial processes. Topics covered include security management, standard specifications, and sustainable manufacturing, highlighting the latest innovations in industrial engineering design. The book goes on to discuss the practical applications of AI-driven technologies in manufacturing, such as simulation, optimization, and sustainable development of industrial processes. A variety of real-world examples are offered, and a discussion of how these technologies are being deployed in different industries provides a clear understanding of their applications and benefits.This book is an essential guide for students, researchers, and industry professionals seeking to understand the evolving landscape of intelligent manufacturing and industrial engineering.
R 7,556.62
Intelligent Manufacturing
The field of industrial engineering has undergone a transformation in recent years, driven by emerging technologies such as Artificial Intelligence (AI), Machine Learning, and the Internet of Things (IoT). To keep pace with these advancements, a shift toward AI-driven development has become a necessity.From case studies to national and international best practices, Intelligent Manufacturing: Exploring AI, Blockchain, and Smart Technologies in Industry 4.0 delves into the challenges of incorporating AI-driven frameworks and standards into the smart industry landscape. It explores the integration of these advanced technologies into Industry 4.0 and presents a comprehensive overview of their potential impact on industrial processes. Topics covered include security management, standard specifications, and sustainable manufacturing, highlighting the latest innovations in industrial engineering design. The book goes on to discuss the practical applications of AI-driven technologies in manufacturing, such as simulation, optimization, and sustainable development of industrial processes. A variety of real-world examples are offered, and a discussion of how these technologies are being deployed in different industries provides a clear understanding of their applications and benefits.This book is an essential guide for students, researchers, and industry professionals seeking to understand the evolving landscape of intelligent manufacturing and industrial engineering.
R 2,711.00
Digital Technologies for Sustainable Manufacturing
Digital Technologies for Sustainable Manufacturing provides a practical framework for promoting sustainability in manufacturing by combining Life Cycle Engineering with the 5S principles (Social, Sustainable, Sensing, Smart, and Safe). This book introduces ten core digital technologies—including AI, simulation tools, IoT, digital twins, additive manufacturing, CAD tools, blockchain, cloud computing, AR/VR, and robotics and automation—as vital drivers for fostering innovation and resilience across materials, products, processes, manufacturing systems, and supply chains. Each chapter blends theory with real-world case studies and shows how competitive intelligence helps stakeholders anticipate trends and make strategic decisions. This comprehensive book prepares engineers, scientists, and leaders to create a more sustainable, efficient, and future-ready manufacturing ecosystem.
R 6,960.00
Effective Manufacturing Consulting
This book covers the key aspects of manufacturing consulting, from identifying operational inefficiencies to implementing lean practices, improvement methodologies, and advanced technologies like automation and AI. With a focus on real-world activities and practical applications, the book outlines how consultants assess manufacturing processes, engage with clients, and develop actionable roadmaps for transformation.Readers will discover the consultant’s approach to enhancing production workflows, improving quality control, managing supply chains, and navigating complex challenges such as labor shortages, regulatory requirements, and shifting market demands. The book also delves into strategic decision-making, change management, and fostering a culture of continuous improvement across the shop floor.With manufacturing undergoing so many changes, consultants must continuously develop their skills and stay current with trends. This book will also serve as a resource for both newcomers and seasoned consultants, offering advice on consulting techniques, industry knowledge, and building client relationships.This book is intended to serve as a comprehensive resource, offering a mix of traditional and cutting-edge knowledge tailored to the evolving needs of the industry. It provides the practical strategies consultants need to help manufacturers navigate present challenges and future opportunities, thereby enhancing their value to clients in an era of constant change.
R 9,379.43
Effective Manufacturing Consulting
This book covers the key aspects of manufacturing consulting, from identifying operational inefficiencies to implementing lean practices, improvement methodologies, and advanced technologies like automation and AI. With a focus on real-world activities and practical applications, the book outlines how consultants assess manufacturing processes, engage with clients, and develop actionable roadmaps for transformation.Readers will discover the consultant’s approach to enhancing production workflows, improving quality control, managing supply chains, and navigating complex challenges such as labor shortages, regulatory requirements, and shifting market demands. The book also delves into strategic decision-making, change management, and fostering a culture of continuous improvement across the shop floor.With manufacturing undergoing so many changes, consultants must continuously develop their skills and stay current with trends. This book will also serve as a resource for both newcomers and seasoned consultants, offering advice on consulting techniques, industry knowledge, and building client relationships.This book is intended to serve as a comprehensive resource, offering a mix of traditional and cutting-edge knowledge tailored to the evolving needs of the industry. It provides the practical strategies consultants need to help manufacturers navigate present challenges and future opportunities, thereby enhancing their value to clients in an era of constant change.
R 2,529.88
Flexible Automation and Intelligent Manufacturing: Manufacturing Innovation and Preparedness for the Changing World Order
This book reports on cutting-edge research and developments in manufacturing, giving a special emphasis to solutions for the Changing World Order. It covers advances in manufacturing processes and systems, applications of AI and machine learning in manufacturing, sustainable manufacturing strategies, quality management in industry 4.0, and topics in ergonomics, engineering education and project management. Based on the proceedings of the 33rd International Conference on Flexible Automation and Intelligent Manufacturing (FAIM2024), held on June 23-26, 2024, in Taichung, Taiwan, this second volume of a 2-volume set provides academics and professionals with extensive, technical information on trends and technologies in manufacturing, yet it also discusses challenges and practice-oriented experience in all the above-mentioned areas.
R 9,158.00
Optimization Methods in Manufacturing Processes
This book presents the result of an innovative challenge, to create a systematic literature overview driven by machine-generated content. Questions and related keywords were prepared for the machine to query, discover, collate and structure by Artificial Intelligence (AI) clustering. The AI-based approach seemed especially suitable to provide an innovative perspective as the topics are indeed both complex, interdisciplinary and multidisciplinary, for example, climate, planetary and evolution sciences. Springer Nature has published much on these topics in its journals over the years, so the challenge was for the machine to identify the most relevant content and present it in a structured way that the reader would find useful. The automatically generated literature summaries in this book are intended as a springboard to further discoverability. They are particularly useful to readers with limited time, looking to learn more about the subject quickly and especially if they are new to the topics. Springer Nature seeks to support anyone who needs a fast and effective start in their content discovery journey, from the undergraduate student exploring interdisciplinary content to Master- or PhD-thesis developing research questions, to the practitioner seeking support materials, this book can serve as an inspiration, to name a few examples. It is important to us as a publisher to make the advances in technology easily accessible to our authors and find new ways of AI-based author services that allow human-machine interaction to generate readable, usable, collated, research content.
R 8,518.23
Emerging Technologies for Sustainable Manufacturing
In the manufacturing industry, a major concern persists—the historical entanglement of this sector with environmental issues. Climate change and resource depletion cast a shadow over traditional practices, demanding a paradigm shift. As our planet grapples with these challenges, the imperative for sustainable manufacturing practices becomes undeniable. Emerging Technologies for Sustainable Manufacturing addresses the environmental conundrums tied to manufacturing. This groundbreaking book delves into transformative technologies such as artificial intelligence, renewable energy integration, innovative materials, and the Internet of Things. By providing a profound analysis of these futuristic solutions, the book aims to guide academic scholars towards a comprehensive understanding of how these technologies can usher in a greener, more sustainable era in manufacturing. The urgent need for sustainable manufacturing practices is palpable, and this book rises to the occasion by providing a nuanced analysis of how these revolutionary technologies can propel the industry towards a greener future. From the role of artificial intelligence in smart manufacturing to sustainable materials applications, the book not only illuminates the current state of affairs but also sparks inspiration for a new generation of researchers, engineers, and entrepreneurs. As a persuasive call to action, the book empowers its readership to contribute actively to the ongoing transformation, fostering a resilient, ecologically responsible future where technology and sustainability harmonize. Designed to captivate the interest of academic scholars, engineers, managers, and practitioners in the manufacturing industry, Emerging Technologies for Sustainable Manufacturing serves as a cornerstone resource. It is a catalyst for innovation in the realms of policymaking, environmental advocacy, and business strategy. With an extensive array of recommended topics encompassing AI, sustainable materials, renewable energy, IoT, and more, this book invites a diverse audience to embark on a journey toward sustainable manufacturing practices that promise a brighter, environmentally conscious future.
R 12,520.90
Futuristic Technology for Sustainable Manufacturing
In the manufacturing industry, a major concern persists—the historical entanglement of this sector with environmental issues. Climate change and resource depletion cast a shadow over traditional practices, demanding a paradigm shift. As our planet grapples with these challenges, the imperative for sustainable manufacturing practices becomes undeniable. Futuristic Technology for Sustainable Manufacturing addresses the environmental conundrums tied to manufacturing. This groundbreaking book delves into transformative technologies such as artificial intelligence, renewable energy integration, innovative materials, and the Internet of Things. By providing a profound analysis of these futuristic solutions, the book aims to guide academic scholars towards a comprehensive understanding of how these technologies can usher in a greener, more sustainable era in manufacturing. The urgent need for sustainable manufacturing practices is palpable, and this book rises to the occasion by providing a nuanced analysis of how these revolutionary technologies can propel the industry towards a greener future. From the role of artificial intelligence in smart manufacturing to sustainable materials applications, the book not only illuminates the current state of affairs but also sparks inspiration for a new generation of researchers, engineers, and entrepreneurs. As a persuasive call to action, the book empowers its readership to contribute actively to the ongoing transformation, fostering a resilient, ecologically responsible future where technology and sustainability harmonize. Designed to captivate the interest of academic scholars, engineers, managers, and practitioners in the manufacturing industry, Futuristic Technology for Sustainable Manufacturing serves as a cornerstone resource. It is a catalyst for innovation in the realms of policymaking, environmental advocacy, and business strategy. With an extensive array of recommended topics encompassing AI, sustainable materials, renewable energy, IoT, and more, this book invites a diverse audience to embark on a journey toward sustainable manufacturing practices that promise a brighter, environmentally conscious future.
R 9,452.49
CAD-based Programming for Design and Manufacturing
This book offers a thorough examination of CAD-based programming in the context of design and manufacturing, structured across five key chapters. Readers will explore topics such as automated design, geometry feature recognition, and system assembly, as well as the generation of CNC codes directly from CAD models. The book delves into the integration of CAD with CAM and other modules, while addressing the opportunities and challenges posed by emerging technologies like AI and machine learning. Whether you are a designer, engineer, or simply interested in the field, this resource provides both practical insights and a forward-looking perspective on CAD-based workflows.
R 1,832.00
Artificial Intelligence in Manufacturing
This open access book presents a rich set of innovative solutions for artificial intelligence (AI) in manufacturing. The various chapters of the book provide a broad coverage of AI systems for state of the art flexible production lines including both cyber-physical production systems (Industry 4.0) and emerging trustworthy and human-centered manufacturing systems (Industry 5.0). From a technology perspective, the book addresses a wide range of AI paradigms such as deep learning, reinforcement learning, active learning, agent-based systems, explainable AI, industrial robots, and AI-based digital twins. Emphasis is put on system architectures and technologies that foster human-AI collaboration based on trusted interactions between workers and AI systems. From a manufacturing applications perspective, the book illustrates the deployment of these AI paradigms in a variety of use cases spanning production planning, quality control, anomaly detection, metrology, workers’ training, supply chain management, as well as various production optimization scenarios.This is an open access book.
R 2,198.00
AI in Manufacturing and Green Technology
This book focuses on environmental sustainability by employing elements of engineering and green computing through modern educational concepts and solutions. It visualizes the potential of artificial intelligence, enhanced by business activities and strategies for rapid implementation, in manufacturing and green technology. This book covers utilization of renewable resources and implementation of the latest energy-generation technologies. It discusses how to save natural resources from depletion and illustrates facilitation of green technology in industry through usage of advanced materials. The book also covers environmental sustainability and current trends in manufacturing. The book provides the basic concepts of green technology, along with the technology aspects, for researchers, faculty, and students.
R 7,559.70
Generative Artificial Intelligence and Explainable Artificial Intelligence for Real-world Applications
This book integrates the concepts of explainable artificial intelligence, and generative explainable artificial intelligence, showcasing how explainability can be incorporated into generative models. It highlights the importance of making generative models transparent, offering strategies to achieve this through interpretability techniques.Focuses on the principles and methodologies of explainable artificial intelligence, providing readers with a thorough understanding of how artificial intelligence models can be made transparent and interpretable.Explores explainable artificial intelligence techniques, including feature importance, SHAP values, LIME, and counterfactual explanations.Offers an in-depth examination of generative artificial intelligence, covering cutting-edge advancements in generative models like GANs, VAEs, and transformer-based architectures.Bridges the gap between theoretical concepts and their practical applications, making advanced artificial intelligence technologies accessible to the readers.Includes numerous case studies and real-world examples that demonstrate the successful application of generative artificial intelligence, and explainable artificial intelligence.The text is primarily written for graduate students and academic researchers in electrical engineering, electronics, and communication engineering, computer science and engineering, biomedical engineering, and information technology.
R 10,257.00
Artificial Intelligence for Smart Manufacturing
This book provides readers with a comprehensive overview of the latest developments in the field of smart manufacturing, exploring theoretical research, technological advancements, and practical applications of AI approaches. With Industry 4.0 paving the way for intelligent systems and innovative technologies to enhance productivity and quality, the transition to Industry 5.0 has introduced a new concept known as augmented intelligence (AuI), combining artificial intelligence (AI) with human intelligence (HI).As the demand for smart manufacturing continues to grow, this book serves as a valuable resource for professionals and practitioners looking to stay up-to-date with the latest advancements in Industry 5.0. Covering a range of important topics such as product design, predictive maintenance, quality control, digital twin, wearable technology, quantum, and machine learning, the book also features insightful case studies that demonstrate the practical application of these tools in real-world scenarios.Overall, this book provides a comprehensive and up-to-date account of the latest advancements in smart manufacturing, offering readers a valuable resource for navigating the challenges and opportunities presented by Industry 5.0.
R 3,841.23
R 1,713.54
R 580.00
Computational Intelligence in Manufacturing
Computational Intelligence in Manufacturing addresses applications of AI, machine learning and other innovative computational techniques across the manufacturing supply chain. The rapid development of smart or digital manufacturing known as Industry 4.0 has swiftly provided a large number of opportunities for product and manufacturing process improvement. Selecting the appropriate technologies and combining them successfully is a challenge this book helps readers overcome . It explains how to prepare different manufacturing cells for flexibility and enhanced productivity with better supply chain management, e.g., calibrating design machine tools for automation and agility. Computational intelligence applications for non-conventional manufacturing processes such as ECM and EDM are covered alongside recent advances in traditional processes like casting, welding and metal forming. As well as describing specific applications, this practical guide also explains the computational intelligence paradigm for enhanced supply chain management.
R 5,885.00
AI in Manufacturing and Green Technology
This book focuses on environmental sustainability by employing elements of engineering and green computing through modern educational concepts and solutions. It visualizes the potential of artificial intelligence, enhanced by business activities and strategies for rapid implementation, in manufacturing and green technology. This book covers utilization of renewable resources and implementation of the latest energy-generation technologies. It discusses how to save natural resources from depletion and illustrates facilitation of green technology in industry through usage of advanced materials. The book also covers environmental sustainability and current trends in manufacturing. The book provides the basic concepts of green technology, along with the technology aspects, for researchers, faculty, and students.
R 2,779.68
Perspective on Artificial Intelligence in Manufacturing
This book investigates the rapid developments of Artificial intelligence (AI) as well as their capability to address efficiently and in a cost-effective manner issues of the manufacturing field. A number of manufacturing applications of AI related to manufacturing processes, robots, automation and manufacturing systems design and control, are presented and discussed. The book includes an outlook on a way forward to intelligent manufacturing, through AI. The real benefit from AI in manufacturing will not only derive through the automation of tasks but also through the provision of new levels of autonomy that will make entirely new applications possible and introduce new business processes in manufacturing.
R 4,942.50
Integration of AI-Based Manufacturing and Industrial Engineering Systems with the Internet of Things
Integration of AI-Based Manufacturing and Industrial Engineering Systems with the Internet of Things describes how AI techniques, such as deep learning, cognitive computing, and Machine Learning, can be used to analyze massive volumes of data produced by IoT devices in manufacturing environments.The potential benefits and challenges associated with the integration of AI and IoT in industrial environments are explored throughout the book as the authors delve into various aspects of the integration process. The role of IoT-enabled sensors, actuators, and smart devices in capturing real-time data from manufacturing processes, supply chains, and equipment is discussed along with how data can be processed and analyzed using AI algorithms to derive actionable insights, optimize production, improve quality control, and enhance overall operational efficiency.A valuable resource for researchers, practitioners, and professionals involved in the fields of AI, IoT, manufacturing systems, and industrial engineering, and combines theoretical foundations, practical applications, and case studies.
R 2,998.26
Prompt Engineering for Generative AI
Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation.With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice. When first integrating LLMs and diffusion models into their workflows, most developers struggle to coax reliable enough results from them to use in automated systems. Authors James Phoenix and Mike Taylor show you how a set of principles called prompt engineering can enable you to work effectively with AI.Learn how to empower AI to work for you. This book explains:The structure of the interaction chain of your program's AI model and the fine-grained steps in betweenHow AI model requests arise from transforming the application problem into a document completion problem in the model training domainThe influence of LLM and diffusion model architecture-and how to best interact with itHow these principles apply in practice in the domains of natural language processing, text and image generation, and code
R 1,824.00
Smart Manufacturing Factory
Artificial Intelligence (AI) technologies enable manufacturing systems to sense the environment, adapt to external needs, and extract process knowledge, including business models such as intelligent production, networked collaboration, and extended service models. This book therefore focuses on the implementation of AI in customized manufacturing (CM).The main topics include edge intelligence in manufacturing, heterogeneous networks, intelligent fault diagnosis and maintenance, dynamic resource scheduling in manufacturing, and the construction mode of the smart factory. Based on the insights of CM and AI, the authors demonstrate the implementation of AI in the smart factory for CM, including architecture, information fusion, data analysis, dynamic scheduling, flexible production line construction, and smart manufacturing services.This book will provide important research content for scholars in artificial intelligence, smart manufacturing, machine learning, multi-agent systems, and industrial Internet of Things.
R 3,064.63
Art and Ethics of Generative AI
Generative AI technologies are reshaping the way we create, communicate, and compute, presenting both unprecedented opportunities and profound challenges. As these systems increasingly influence decisions that shape our lives, it becomes clear that performance metrics alone cannot define their success. A deeper understanding of the intersection between technical innovation and human values is essential to navigate this transformative era.The Art and Ethics of Generative AI: Fairness, Transparency, and Human Values provides a balanced exploration of generative AI, combining technical insights with ethical considerations. It explains generative model architectures and learning paradigms in an accessible way, while addressing critical issues such as algorithmic bias, explainability challenges, and emerging regulatory approaches. Practical frameworks for responsible AI development are offered, alongside multidisciplinary perspectives that bridge technical and humanistic viewpoints. Abstract concepts are brought to life through practical illustrations, demonstrating how ethical considerations play out in real-world AI applications.Designed for a wide audience, the book serves AI practitioners seeking actionable guidance for building responsible systems, researchers exploring nuanced ethical dimensions, educators and students looking for comprehensive learning materials, and policymakers needing governance insights. It is an essential resource for anyone engaged in the rapidly evolving AI ecosystem.
R 5,165.00
Practical MLflow for Generative AI on Databricks
Bridge the gap between cutting-edge research and the practical operationalization of generative AI. This handy guide demystifies the complexities of managing GenAI applications using leading open source platform MLflow on Databricks.What sets this book apart is its focus on the requirements of managing and deploying GenAI applications. Authors Nuwan Ganganath, Julie Nguyen, and Chang Shi Lim—seasoned ML and AI specialists from Databricks—take you through each stage of the development of an agentic chatbot, sharing best practices, innovative techniques, and common challenges along the way. By combining deep technical insights with interactive exercises and actionable real-world code examples, they ensure that you're equipped to implement robust GenAI applications in modern enterprise environments.Understand MLflow fundamentals, including core components and the tool's application to GenAI on the Databricks platformBuild, track, and manage GenAI applications using MLflow, from prompts to the overall agentic chainOptimize and evaluate GenAI applications through a combination of automated LLM-assisted judges and human-in-the-loop reviewDeploy production-ready GenAI applications, leveraging Databricks' scalable infrastructure and monitoring capability
R 1,978.00
Genai on Google Cloud
In today's AI landscape, success depends not just on using large language models but on moving them into production in a way that's scalable, compliant, and cost-effective. GenAI on Google Cloud: Enterprise Generative AI Systems and Agents is your hands-on guide to bridging that gap. Whether you're an ML engineer tackling your first multi-agent application or a product leader responsible for scaling a GenAI strategy, this book offers a practical game plan for taking your LLM applications from promising prototype to enterprise-grade solution. Written by practitioners with deep experience in MLOps, data engineering, and GenAI infrastructure, this guide takes you through real-world workflows using Google Cloud's Vertex AI--from training and deployment to monitoring and integration. With concrete examples, field-tested frameworks, and honest insights about what actually works, you'll learn how to build production systems that deliver measurable business value. Bridge the prototype-to-production chasm that stalls 75% of LLM projects using systematic frameworks developed across hundreds of deploymentsNavigate the unique complexities of LLM operations through practical guidance on data orchestration, evaluation frameworks, and responsible AI practicesBuild enterprise-grade multimodal systems that handle text, images, and video with robust agent architectures and tool integrationImplement proven optimization strategies for cost management, performance tuning, and production monitoring at scaleApply battle-tested patterns from practitioners who've guided organizations through both breakthrough successes and costly failures
R 1,824.00
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
