A. Dinesh Kumar – författare & böcker

Generative Artificial Intelligence

Concepts and Applications

Inbunden, Engelska, 2025

2 134 kr

Skickas inom 5-8 vardagar

This book is a comprehensive overview of AI fundamentals and applications to drive creativity, innovation, and industry transformation. Generative AI stands at the forefront of artificial intelligence innovation, redefining the capabilities of machines to create, imagine, and innovate. GAI explores the domain of creative production with new and original content across various forms, including images, text, music, and more. In essence, generative AI stands as evidence of the boundless potential of artificial intelligence, transforming industries, sparking creativity, and challenging conventional paradigms. It represents not just a technological advancement but a catalyst for reimagining how machines and humans collaborate, innovate, and shape the future. The book examines real-world examples of how generative AI is being used in a variety of industries. The first section explores the fundamental concepts and ethical considerations of generative AI. In addition, the section also introduces machine learning algorithms and natural language processing. The second section introduces novel neural network designs and convolutional neural networks, providing dependable and precise methods. The third section explores the latest learning-based methodologies to help researchers and farmers choose optimal algorithms for specific crop and hardware needs. Furthermore, this section evaluates significant advancements in revolutionizing online content analysis, offering real-time insights into content creation for more interactive processes. AudienceThe book will be read by researchers, engineers, and students working in artificial intelligence, computer science, and electronics and communication engineering as well as industry application areas.

Generative Artificial Intelligence

Concepts and Applications

AvS. Balamurugan,A. Dinesh Kumarm. fl.

E-bok

Engelska, 2025

2 664 kr

Läs direkt efter köp

This book is a comprehensive overview of AI fundamentals and applications to drive creativity, innovation, and industry transformation.

Generative AI stands at the forefront of artificial intelligence innovation, redefining the capabilities of machines to create, imagine, and innovate. GAI explores the domain of creative production with new and original content across various forms, including images, text, music, and more. In essence, generative AI stands as evidence of the boundless potential of artificial intelligence, transforming industries, sparking creativity, and challenging conventional paradigms. It represents not just a technological advancement but a catalyst for reimagining how machines and humans collaborate, innovate, and shape the future.

The book examines real-world examples of how generative AI is being used in a variety of industries. The first section explores the fundamental concepts and ethical considerations of generative AI. In addition, the section also introduces machine learning algorithms and natural language processing. The second section introduces novel neural network designs and convolutional neural networks, providing dependable and precise methods. The third section explores the latest learning-based methodologies to help researchers and farmers choose optimal algorithms for specific crop and hardware needs. Furthermore, this section evaluates significant advancements in revolutionizing online content analysis, offering real-time insights into content creation for more interactive processes.

Audience The book will be read by researchers, engineers, and students working in artificial intelligence, computer science, and electronics and communication engineering as well as industry application areas.

Generative Artificial Intelligence

Concepts and Applications

AvS. Balamurugan,A. Dinesh Kumarm. fl.

E-bok

PDF, Engelska, 2025

2 664 kr

Läs direkt efter köp

This book is a comprehensive overview of AI fundamentals and applications to drive creativity, innovation, and industry transformation.

Generative AI stands at the forefront of artificial intelligence innovation, redefining the capabilities of machines to create, imagine, and innovate. GAI explores the domain of creative production with new and original content across various forms, including images, text, music, and more. In essence, generative AI stands as evidence of the boundless potential of artificial intelligence, transforming industries, sparking creativity, and challenging conventional paradigms. It represents not just a technological advancement but a catalyst for reimagining how machines and humans collaborate, innovate, and shape the future.

The book examines real-world examples of how generative AI is being used in a variety of industries. The first section explores the fundamental concepts and ethical considerations of generative AI. In addition, the section also introduces machine learning algorithms and natural language processing. The second section introduces novel neural network designs and convolutional neural networks, providing dependable and precise methods. The third section explores the latest learning-based methodologies to help researchers and farmers choose optimal algorithms for specific crop and hardware needs. Furthermore, this section evaluates significant advancements in revolutionizing online content analysis, offering real-time insights into content creation for more interactive processes.

Audience The book will be read by researchers, engineers, and students working in artificial intelligence, computer science, and electronics and communication engineering as well as industry application areas.

Nyhet

Neuro-Symbolic Artificial Intelligence

Concepts and Applications

AvR. Nidhya,A. Dinesh Kumarm. fl.

Inbunden, Engelska, 2026

2 342 kr

Skickas inom 5-8 vardagar

Master the next frontier of artificial intelligence with this essential guide to uniting the pattern recognition of deep learning with the transparent, logical reasoning of symbolic AI. The field of artificial intelligence has witnessed rapid advancements in recent years, driven primarily by deep learning and data-centric approaches. Despite their impressive performance, purely neural methods often lack interpretability, logical reasoning capabilities, and the ability to generalize beyond training data. In contrast, symbolic AI, rooted in formal logic and structured representations, offers transparency and reasoning strength, but struggles with adaptability and learning from raw data. In response to these challenges, neuro-symbolic AI has emerged as a compelling paradigm that unifies the strengths of both approaches. This book is a comprehensive exploration of one of the most transformative frontiers in artificial intelligence. By combining the pattern recognition power of neural networks with the logical reasoning capabilities of symbolic systems, neuro-symbolic AI promises to deliver systems that are not only accurate but also interpretable, adaptable, and aligned with human cognitive processes. This book brings together a diverse range of research contributions that showcase both foundational theory and practical applications across domains like natural language processing, healthcare, intelligent transport, cybersecurity, and ethical AI. Spanning topics such as hybrid architectures, logic-enhanced deep learning, graph neural networks, transfer learning, and explainable AI, the volume addresses the technical and conceptual challenges of building trustworthy intelligent systems. Each chapter provides technical depth, experimental insights, and future directions, making this guide a vital resource for researchers, graduate students, and professionals in AI and machine learning. Readers will find the volume introduces the fundamental concepts of neuro-symbolic AI, explores real-world applications in healthcare, natural language processing, and ethical AI, and presents a forward-looking perspective on the next generation of robust, transparent, and trustworthy AI technologies. Audience Engineering research scholars and students, IT professionals, network administrators, artificial intelligence and deep learning experts, and government research agencies.

Nyhet

Neuro-Symbolic Artificial Intelligence

Concepts and Applications

AvS. Balamurugan,S. Karthikm. fl.

E-bok

PDF, Engelska, 2026

2 809 kr

Läs direkt efter köp

Master the next frontier of artificial intelligence with this essential guide to uniting the pattern recognition of deep learning with the transparent, logical reasoning of symbolic AI. The field of artificial intelligence has witnessed rapid advancements in recent years, driven primarily by deep learning and data-centric approaches. Despite their impressive performance, purely neural methods often lack interpretability, logical reasoning capabilities, and the ability to generalize beyond training data. In contrast, symbolic AI, rooted in formal logic and structured representations, offers transparency and reasoning strength, but struggles with adaptability and learning from raw data. In response to these challenges, neuro-symbolic AI has emerged as a compelling paradigm that unifies the strengths of both approaches. This book is a comprehensive exploration of one of the most transformative frontiers in artificial intelligence. By combining the pattern recognition power of neural networks with the logical reasoning capabilities of symbolic systems, neuro-symbolic AI promises to deliver systems that are not only accurate but also interpretable, adaptable, and aligned with human cognitive processes. This book brings together a diverse range of research contributions that showcase both foundational theory and practical applications across domains like natural language processing, healthcare, intelligent transport, cybersecurity, and ethical AI. Spanning topics such as hybrid architectures, logic-enhanced deep learning, graph neural networks, transfer learning, and explainable AI, the volume addresses the technical and conceptual challenges of building trustworthy intelligent systems. Each chapter provides technical depth, experimental insights, and future directions, making this guide a vital resource for researchers, graduate students, and professionals in AI and machine learning. Readers will find the volume introduces the fundamental concepts of neuro-symbolic AI, explores real-world applications in healthcare, natural language processing, and ethical AI, and presents a forward-looking perspective on the next generation of robust, transparent, and trustworthy AI technologies. Audience Engineering research scholars and students, IT professionals, network administrators, artificial intelligence and deep learning experts, and government research agencies.

Nyhet

Medical Metaverse for Digital Healthcare

Technologies, Applications, and Challenges

AvR. Nidhya,D. Pavithram. fl.

Inbunden, Engelska, 2026

2 347 kr

Skickas inom 5-8 vardagar

Step into the next dimension of healthcare with this essential guide to the Medical Metaverse, where AR, VR, and AI converge to redefine patient engagement, medical training, and surgical precision.The rapid evolution of digital technologies is transforming every aspect of human life, and healthcare is no exception. Originally rooted in entertainment and social interaction, the concept of the metaverse is now permeating the medical field, giving rise to what we call the ‘Medical Metaverse’. The metaverse, a shared virtual space combining physical and digital realities, is poised to offer novel ways to deliver patient care, improve medical training, and enhance patient engagement. This book delves into the exciting and rapidly evolving intersection of healthcare and metaverse technologies. It explores how augmented reality (AR), virtual reality (VR), artificial intelligence (AI), and other emerging digital tools are revolutionizing medical practices. This book is an essential guide for understanding the technologies that are transforming the healthcare landscape and how they can be applied in practical scenarios.In addition to providing a comprehensive overview of these technologies, the book dives into real-world applications. From telemedicine and remote surgeries using AI-driven diagnostics and personalized treatments, the book highlights key innovations that are already making an impact. The authors discuss case studies, practical examples, and the potential for these technologies to address global healthcare challenges, such as improving access to care, reducing costs, and enhancing patient outcomes. Overall, this book provides a holistic understanding of both the promises and the pitfalls of the medical metaverse, making it a valuable resource for healthcare professionals, technologists, policymakers, and researchers alike.Readers will find the volume explores advanced applications of augmented reality (AR), virtual reality (VR), artificial intelligence, and deep and machine learning algorithms for predictive modeling; showcases cutting-edge innovations emerging from research laboratories with the potential to transform factory-floor operations; demonstrates key risk factors, success factors, and performance metrics that can inform future research and development; and introduces advanced techniques for efficiently addressing the challenges of implementing real-time metaverse applications in healthcare.

Nyhet

Medical Metaverse for Digital Healthcare

Technologies, Applications, and Challenges

AvSheng-Lung Peng,A. Dinesh Kumarm. fl.

E-bok

PDF, Engelska, 2026

2 698 kr

Läs direkt efter köp

Step into the next dimension of healthcare with this essential guide to the Medical Metaverse, where AR, VR, and AI converge to redefine patient engagement, medical training, and surgical precision. The rapid evolution of digital technologies is transforming every aspect of human life, and healthcare is no exception. Originally rooted in entertainment and social interaction, the concept of the metaverse is now permeating the medical field, giving rise to what we call the Medical Metaverse . The metaverse, a shared virtual space combining physical and digital realities, is poised to offer novel ways to deliver patient care, improve medical training, and enhance patient engagement. This book delves into the exciting and rapidly evolving intersection of healthcare and metaverse technologies. It explores how augmented reality (AR), virtual reality (VR), artificial intelligence (AI), and other emerging digital tools are revolutionizing medical practices. This book is an essential guide for understanding the technologies that are transforming the healthcare landscape and how they can be applied in practical scenarios. In addition to providing a comprehensive overview of these technologies, the book dives into real-world applications. From telemedicine and remote surgeries using AI-driven diagnostics and personalized treatments, the book highlights key innovations that are already making an impact. The authors discuss case studies, practical examples, and the potential for these technologies to address global healthcare challenges, such as improving access to care, reducing costs, and enhancing patient outcomes. Overall, this book provides a holistic understanding of both the promises and the pitfalls of the medical metaverse, making it a valuable resource for healthcare professionals, technologists, policymakers, and researchers alike. Readers will find the volume explores advanced applications of augmented reality (AR), virtual reality (VR), artificial intelligence, and deep and machine learning algorithms for predictive modeling; showcases cutting-edge innovations emerging from research laboratories with the potential to transform factory-floor operations; demonstrates key risk factors, success factors, and performance metrics that can inform future research and development; and introduces advanced techniques for efficiently addressing the challenges of implementing real-time metaverse applications in healthcare.