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Generative ai, media, and society, Feher, Katalin


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Цена: 40820.00T
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Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
Склад Англия: 3 шт.  Склад Америка: 180 шт.  
При оформлении заказа до: 2025-09-29
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Автор: Feher, Katalin
Название:  Generative ai, media, and society
ISBN: 9781032968735
Издательство: Taylor&Francis
Классификация:




ISBN-10: 1032968737
Обложка/Формат: Paperback
Страницы: 176
Вес: 0.36 кг.
Дата издания: 28.04.2025
Размер: 155 x 234 x 13
Рейтинг:
Поставляется из: Европейский союз

Generative Adversarial Networks and Deep Learning Theory and Applications

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
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Цена: 153120.00 T
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


Charting the AI Transition in Education and Business Environments

Автор: Hutson, James
Название: Charting the AI Transition in Education and Business Environments
ISBN: 1032844663 ISBN-13(EAN): 9781032844664
Издательство: Taylor&Francis
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Цена: 137810.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book delineates a comprehensive framework designed to ultimately assist organizations as they navigate the critical juncture—often termed the inflection point—in adopting generative Artificial Intelligence (AI). Addressing the exigent shift in organizational strategy mandated by Industry 4.0, and urging a transition from mere digital transformation to what is being progressively understood as "generative transformation,” it fills a conspicuous lacuna in both academic and practical discourses by presenting a timely synthesis of research, empirical studies, and case analyses. The authors utilize an interdisciplinary methodology, bridging the epistemological divide between the technological intricacies of generative AI and its effective implementation within institutional frameworks. Reorienting the focus of organizational leaders from a simplistic replacement paradigm to one of technological-human augmentation, it works toward a prescriptive blueprint for enabling organizations to adopt generative AI without compromising their most valuable asset: human intellectual and emotional capital. Fostering interdisciplinary dialog among academics, industry professionals, and policymakers, it fills a critical gap in current discourses and serves as a catalyst for future research and collaboration.

Regulating hate speech created by generative ai

Название: Regulating hate speech created by generative ai
ISBN: 1032644346 ISBN-13(EAN): 9781032644349
Издательство: Taylor&Francis
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Цена: 45930.00 T
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Generative Adversarial Learning: Architectures and Applications

Автор: Razavi-Far
Название: Generative Adversarial Learning: Architectures and Applications
ISBN: 3030913929 ISBN-13(EAN): 9783030913922
Издательство: Springer
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Цена: 167700.00 T
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Описание: This book provides a collection of recent research works addressing theoretical issues on improving the learning process and the generalization of GANs as well as state-of-the-art applications of GANs to various domains of real life. Adversarial learning fascinates the attention of machine learning communities across the world in recent years. Generative adversarial networks (GANs), as the main method of adversarial learning, achieve great success and popularity by exploiting a minimax learning concept, in which two networks compete with each other during the learning process. Their key capability is to generate new data and replicate available data distributions, which are needed in many practical applications, particularly in computer vision and signal processing. The book is intended for academics, practitioners, and research students in artificial intelligence looking to stay up to date with the latest advancements on GANs’ theoretical developments and their applications.

Rethinking Language Education in the Age of Generative AI

Автор: Tian, Zhongfeng
Название: Rethinking Language Education in the Age of Generative AI
ISBN: 1032727632 ISBN-13(EAN): 9781032727639
Издательство: Taylor&Francis
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Цена: 43890.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Rethinking Language Education in the Age of Generative AI bridges the gap between theory, research, and practice in AI and language education. Through conceptual pieces, empirical studies, and practical applications, this book provides critical insights and implications for reimagining language education in the age of generative AI.The contributors explore a wide range of issues, reflections, and innovations in AI and language education across diverse contexts, including English as a Second Language (ESL), English as a Foreign Language (EFL), foreign language learning, postsecondary pathways programs for international students, and language teacher education programs. Topics examined include critical AI literacy, GenAI-informed second language teaching and assessment, teacher and student perceptions, tool development for language learning, as well as ethical considerations, policies, and guidelines. The book incorporates interdisciplinary perspectives, such as L2/foreign language studies, education, and applied linguistics, as well as global insights from countries like the United States, Canada, South Korea, Thailand, Indonesia, and the Philippines.This book is essential for students and researchers seeking to leverage AI to enhance language teaching and learning in innovative, critical, ethical, and responsible ways.

Software testing with generative ai

Автор: Winteringham, Mark
Название: Software testing with generative ai
ISBN: 1633437361 ISBN-13(EAN): 9781633437364
Издательство: Неизвестно
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Цена: 73550.00 T
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Complete obsolete guide to generative ai

Автор: Clinton, David
Название: Complete obsolete guide to generative ai
ISBN: 1633436985 ISBN-13(EAN): 9781633436985
Издательство: Неизвестно
Рейтинг:
Цена: 49030.00 T
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Teaching and Learning in the Age of Generative AI

Автор: Corbeil, Joseph Rene
Название: Teaching and Learning in the Age of Generative AI
ISBN: 1032688599 ISBN-13(EAN): 9781032688596
Издательство: Taylor&Francis
Рейтинг:
Цена: 148010.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Teaching and Learning in the Age of Generative AI explores how educators can effectively harness the potential of artificial intelligence technologies while skillfully navigating its pedagogical, technical, ethical, institutional, and societal implications. The increasing accessibility of AI technologies among K-12 and higher education students has raised extensive concerns around academic integrity, though a deeper lineage of research and development suggests that these tools may be used to supplement instruction, prioritize critical thinking, and promote digital literacy. Bookended by in-depth analyses of the historical and future trajectories of artificial intelligence in education, this comprehensive resource provides evidence-based strategies for classroom implementation and helpful summaries of common benefits and risks. Teaching assistance, personalized learning, redefined assessments, anti-bias measures, and safeguards against misconduct and privacy infringement are among the wealth of topics addressed in these chapters. This book is an ideal text for undergraduate and graduate students of teacher education and curriculum and instruction as well as for higher education teaching faculty, school technology coordinators, and talent development personnel in training and in service.

Introduction to generative ai

Автор: Dhamani, Numa Engler, Maggie
Название: Introduction to generative ai
ISBN: 1633437191 ISBN-13(EAN): 9781633437197
Издательство: Неизвестно
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Цена: 61290.00 T
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Creative Prototyping with Generative AI

Автор: Parra Pennefather
Название: Creative Prototyping with Generative AI
ISBN: 1484295781 ISBN-13(EAN): 9781484295786
Издательство: Springer
Рейтинг:
Цена: 46570.00 T
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.

Toward Artificial General Intelligence: Deep Learning, Neural Networks, Generative AI

Автор: Pethuru Raj, Satya Prakash Yadav, Victor Hugo C. de Albuquerque
Название: Toward Artificial General Intelligence: Deep Learning, Neural Networks, Generative AI
ISBN: 3111323560 ISBN-13(EAN): 9783111323565
Издательство: Walter de Gruyter
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Цена: 161100.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Artifi cial Intelligence (AI) has been an exciting fi eld of study and research in educational institutions and research labs across the globe. Technology giants and IT organizations invest heavily on AI technologies and tools with the aim of preciselyautomating a variety of simple as well as complicated business operations acrossindustry verticals. This book covers the latest trends and transitions happening in thefuturistic AI domain. The book also focuses on machine and deep learning (ML/DL)algorithms, which are, undoubtedly, the mainstream implementation technologies ofstate-of-the-art AI systems and services. Also, there are chapters on computer vision(CV) and natural language processing (NLP), the primary use cases and applicationsof AI. The book has well-written chapters for demystifying AI model engineeringmethods. Further on, our esteemed readers can fi nd details on AI model evaluation,optimization, deployment and observability. Finally, the book deals and describesgenerative AI, the latest buzzword in the IT industry.

The book

presents the recent ground-breaking changes taking place in the aspects of AI model building, hosting, running and maintaining in cloud environments,

articulates and accentuates the most recent developments taking place in the

domain of Artifi cial Intelligence,

covers the noteworthy innovations and disruptions towards Generative Artifi cial

Intelligence (Generative AI),

explains the breakthrough innovations and disruptions towards Artifi cial General

Intelligence (AGI)

and delineates an engaging discussion of Natural Language Processing, Neuromorphic Systems and Biometrics.


Deep Generative Models, and Data Augmentation, Labelling, and Imperfections: First Workshop, DGM4MICCAI 2021, and First Workshop, DALI 2021, Held in C

Автор: Engelhardt Sandy, Oksuz Ilkay, Zhu Dajiang
Название: Deep Generative Models, and Data Augmentation, Labelling, and Imperfections: First Workshop, DGM4MICCAI 2021, and First Workshop, DALI 2021, Held in C
ISBN: 3030882098 ISBN-13(EAN): 9783030882099
Издательство: Springer
Рейтинг:
Цена: 60550.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the First MICCAI Workshop on Deep Generative Models, DG4MICCAI 2021, and the First MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, DALI 2021, held in conjunction with MICCAI 2021, in October 2021.


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