Generative Intelligence in Healthcare, Gupta, Sakshi
Автор: Edited By Roshani Raut, Pranav D Pathak, Sachin R Название: Generative Adversarial Networks and Deep Learning Theory and Applications ISBN: 1032068108 ISBN-13(EAN): 9781032068107 Издательство: Taylor&Francis Рейтинг: Цена: 24499.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explores how to use generative adversarial networks in a variety of applications and emphasises their substantial advancements over traditional generative models. This book's major goal is to concentrate on cutting-edge research in deep learning and generative adversarial networks, which includes creating new tools and methods for processing text, images, and audio. A Generative Adversarial Network (GAN) is a class of machine learning framework and is the next emerging network in deep learning applications.
Generative Adversarial Networks(GANs) have the feasibility to build improved models, as they can generate the sample data as per application requirements. There are various applications of GAN in science and technology, including computer vision, security, multimedia and advertisements, image generation, image translation,text-to-images synthesis, video synthesis, generating high-resolution images, drug discovery, etc. Features:Presents a comprehensive guide on how to use GAN for images and videos.
Includes case studies of Underwater Image Enhancement Using Generative Adversarial Network, Intrusion detection using GANHighlights the inclusion of gaming effects using deep learning methodsExamines the significant technological advancements in GAN and its real-world application. Discusses as GAN challenges and optimal solutionsThe book addresses scientific aspects for a wider audience such as junior and senior engineering, undergraduate and postgraduate students, researchers, and anyone interested in the trends development and opportunities in GAN and Deep Learning. The material in the book can serve as a reference in libraries, accreditation agencies, government agencies, and especially the academic institution of higher education intending to launch or reform their engineering curriculum
Автор: Kalpokiene, Julija Название: Law, human creativity and generative artificial intelligence ISBN: 1032735872 ISBN-13(EAN): 9781032735870 Издательство: Taylor&Francis Рейтинг: Цена: 7501.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Marr, Bernard (advanced Performance Institute, Buckinghamshire, Uk) Название: Generative ai in practice ISBN: 1394245564 ISBN-13(EAN): 9781394245567 Издательство: Wiley Рейтинг: Цена: 4750.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Fan, Yizhou Название: Learning with Generative Artificial Intelligence ISBN: 1041052804 ISBN-13(EAN): 9781041052807 Издательство: Taylor&Francis Рейтинг: Цена: 22202.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book delves into the core of education’s digital transformation, presenting a thorough and empirical examination of Generative Artificial Intelligence (GenAI)’s impact, beyond the theoretical and fragmented insights prevalent in current discourse. Drawing from peer-reviewed and extensive empirical studies, the contributors aim to unveil the multifaceted effects of GenAI (particularly ChatGPT) on learning. They navigate through topics of interaction, assessment, emotion, effect and efficiency, meta-cognition, and ethics, offering a comprehensive exploration of GenAI’s educational implications. Furthermore, the book presents a closed loop of learning theory, multimodal data and learning analytics technology, builds and proposes core conceptual models for future learning, and identifies potential research directions. The book will serve as a foundational reference for educators seeking innovative learning and teaching methods, researchers and technologists who seek to push the boundaries of educational technology and related areas.
Название: Generative adversarial networks and deep learning ISBN: 1032068116 ISBN-13(EAN): 9781032068114 Издательство: Taylor&Francis Рейтинг: Цена: 8420.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Victor Lavrenko Название: A Generative Theory of Relevance ISBN: 3642100422 ISBN-13(EAN): 9783642100420 Издательство: Springer Рейтинг: Цена: 14635.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a new way to look at topical relevance in information retrieval and offers a new method for modeling exchangeable sequences of discrete random variables which does not make any assumptions about the data and can also handle rare events.
Автор: Kulkarni Название: Applied Generative AI for Beginners ISBN: 1484299930 ISBN-13(EAN): 9781484299937 Издательство: Springer Рейтинг: Цена: 6097.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a deep dive into the world of generative AI, covering everything from the basics of neural networks to the intricacies of large language models like ChatGPT and Google Bard. It serves as a one-stop resource for anyone interested in understanding and applying this transformative technology and is particularly aimed at those just getting started with generative AI. Applied Generative AI for Beginners is structured around detailed chapters that will guide you from foundational knowledge to practical implementation. It starts with an introduction to generative AI and its current landscape, followed by an exploration of how the evolution of neural networks led to the development of large language models. The book then delves into specific architectures like ChatGPT and Google Bard, offering hands-on demonstrations for implementation using tools like Sklearn. You’ll also gain insight into the strategic aspects of implementing generative AI in an enterprise setting, with the authors covering crucial topics such as LLMOps, technology stack selection, and in-context learning. The latter part of the book explores generative AI for images and provides industry-specific use cases, making it a comprehensive guide for practical application in various domains. Whether you're a data scientist looking to implement advanced models, a business leader aiming to leverage AI for enterprise growth, or an academic interested in cutting-edge advancements, this book offers a concise yet thorough guide to mastering generative AI, balancing theoretical knowledge with practical insights. What You Will Learn * Gain a solid understanding of generative AI, starting from the basics of neural networks and progressing to complex architectures like ChatGPT and Google Bard * Implement large language models using Sklearn, complete with code examples and best practices for real-world application * Learn how to integrate LLM’s in enterprises, including aspects like LLMOps and technology stack selection * Understand how generative AI can be applied across various industries, from healthcare and marketing to legal compliance through detailed use cases and actionable insights Who This Book Is For Data scientists, AI practitioners, Researchers and software engineers interested in generative AI and LLMs.
Автор: Parra Pennefather Название: Creative Prototyping with Generative AI ISBN: 1484295781 ISBN-13(EAN): 9781484295786 Издательство: Springer Рейтинг: Цена: 6097.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Reimagine different generative AI as useful creative prototyping tools that can be used to augment your own creative process and projects. Gain a deeper understanding of how generative AI can elevate your creative future. You will acquire a comprehensive understanding of how AI works, uncover tools that can enhance your AI interactions, learn how to extract maximum potential from AI-produced content, and experiment with methods for assessing, refining, and boosting the content to transform your creative projects. You'll also explore how creative professionals from varied disciplines are employing generative AI in their workflows to produce distinctive contributions to the world. Each chapter provides examples of how designers and other creative individuals can utilize these technological wonders, adopting various prototyping techniques to fast-track and optimize design processes and workflows. Creators from all disciplines can tap into the vast capabilities and benefits of generative AI, enabling them to rapidly experiment and prototype their ideas. You Will Learn: * Understand how generative AI can support your own creative process * Learn tools to get the most out of text-text, text-image, and text-video generative AI * Augment your design practices using generative AI * Draw inspiration from AI generated content to create unique creative work * Improve and streamline creatives processes and workflows Who This Book Is For * Digital media professionals who want to access off-the shelf creative tools to improve and accelerate their creativity and workflow. * Designers and engineers who are looking at novel ways to improve their prototyping and testing processes. * Students who want to use AI to rapidly generate ideas to support them in prototyping assignments. * Instructors interested in pointing their students to a variety of accessible AI resources to manage their own creativity.
Автор: By Mehdi Ghayoumi Название: Generative Adversarial Networks in Practice ISBN: 1032248440 ISBN-13(EAN): 9781032248448 Издательство: Taylor&Francis Рейтинг: Цена: 13320.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Taulli Название: Generative AI ISBN: 148429369X ISBN-13(EAN): 9781484293690 Издательство: Springer Рейтинг: Цена: 6707.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book will show how generative technology works and the drivers. It will also look at the applications – showing what various startups and large companies are doing in the space. There will also be a look at the challenges and risk factors. During the past decade, companies have spent billions on AI. But the focus has been on applying the technology to predictions – which is known as analytical AI. It can mean that you receive TikTok videos that you cannot resist. Or analytical AI can fend against spam or fraud or forecast when a package will be delivered. While such things are beneficial, there is much more to AI. The next megatrend will be leveraging the technology to be creative. For example, you could take a book and an AI model will turn it into a movie – at very little cost. This is all part of generative AI. It’s still in the nascent stages but it is progressing quickly. Generative AI can already create engaging blog posts, social media messages, beautiful artwork and compelling videos. The potential for this technology is enormous. It will be useful for many categories like sales, marketing, legal, product design, code generation, and even pharmaceutical creation. What You Will Learn The importance of understanding generative AI The fundamentals of the technology, like the foundation and diffusion models How generative AI apps work How generative AI will impact various categories like the law, marketing/sales, gaming, product development, and code generation. The risks, downsides and challenges. Who This Book is For Professionals that do not have a technical background. Rather, the audience will be mostly those in Corporate America (such as managers) as well as people in tech startups, who will need an understanding of generative AI to evaluate the solutions.
Автор: Kumar, Rajendra Название: Generative Artificial Intelligence in Healthcare ISBN: 1032784849 ISBN-13(EAN): 9781032784847 Издательство: Taylor&Francis Рейтинг: Цена: 23734.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Generative AI is a transformative force in smart healthcare. It can produce contents virtually indistinguishable from human-created material with the power to redefine healthcare and revolutionize how medical science interacts with technology. This book presents the potential applications and benefits of Generative AI in healthcare and discusses its execution challenges and ethical aspects.Generative Artificial Intelligence in Healthcare: Current Practices and Future Development starts by reviewing the past and then discussing the present of Generative AI-based systems and the potential challenges the future might bring. It then highlights the integration of Generative AI with IoT, and blockchain technologies along with offering case studies. The book explores how to integrate augmented and virtual reality into Generative AI-based healthcare and covers the development of an effective machine algorithm for Generative-based healthcare and the design and implementation of Generative Adversarial Networks (GANs) in healthcare systems. Data security and ergonomic design for healthcare products are also included in the book. This book will provide a platform for the past, present, and future of Generative AI and will help researchers and healthcare practitioners generate more robust solutions.
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