Design In Metaverse Artificial Intelligence Game Design Style Gan2 And More
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Design In Metaverse Artificial Intelligence Game Design Style Gan2 And More
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Author : Ismail Ergen
language : en
Publisher: Allied Publishers
Release Date : 2022-12-29
Design In Metaverse Artificial Intelligence Game Design Style Gan2 And More written by Ismail Ergen and has been published by Allied Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-29 with Computers categories.
In a future situation known as the Metaverse, individuals will be able to enter a shared online reality that contains avatars—digital representations of both themselves and other users—through the use of advanced computing.In this book you will find the potential for graphic design in this space is enormous; as metaverse applications advance and take on more realism, graphic designers will be expected to provide intuitive, aesthetically pleasing user interfaces and user experiences. By making unique images for metaverse platforms, graphic artists may discover new ways to profit from their work in the future.
Research Innovation And Industry Impacts Of The Metaverse
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Author : Kumar, Jeetesh
language : en
Publisher: IGI Global
Release Date : 2024-06-06
Research Innovation And Industry Impacts Of The Metaverse written by Kumar, Jeetesh and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-06 with Computers categories.
Imagine a world where the digital and physical worlds intertwine seamlessly - this is the metaverse. This complex digital environment has the potential to revolutionize our lives in a multitude of ways. Yet the lack of standardized frameworks and guidelines creates a fragmented ecosystem with varying levels of security, privacy, and usability that can hinder the integration of the metaverse into our daily lives in cohesive, safe, and beneficial ways. Research, Innovation, and Industry Impacts of the Metaverse offers a comprehensive solution to the challenges posed by the metaverse. It serves as a roadmap for researchers, academics, and practitioners by providing a structured framework for exploring the metaverse. It covers foundational technologies, academic research, real-world applications, and challenges, offering insights into defining the metaverse, its technologies, and future potential. The book equips readers with the knowledge and tools needed to navigate the complexities of the metaverse and contribute to its responsible development. Showcasing the latest research contributions, this book initiates academic discourse and innovation. It fosters interdisciplinary collaboration, ensuring a holistic understanding of the metaverse's impact on society, education, commerce, and more, while empowering readers to harness the metaverse's full potential.
Meta Health
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Author : Sonali Vyas
language : en
Publisher: Springer Nature
Release Date : 2025-04-26
Meta Health written by Sonali Vyas and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-26 with Philosophy categories.
Metaverse is an emerging trend these days. It reflects in every field, like education, entertainment, business, and even healthcare. As we can experience, the Healthcare industry is constantly transforming due to emerge of new trends and technologies like moving from X-Rays to digital reports and from telehealth to Virtual Reality. It is a vast digital shift from regular practices to innovative techniques for efficient healthcare services. Metaverse plays a significant role in changing healthcare because it connects innovative technologies like Artificial Intelligence, Virtual Reality, Augmented Reality, IoT, Web 3.0, Quantum Computing, Robotics, etc. This book discusses the application area of utilizing Metaverse in Healthcare services. It focuses on various research trends and technologies related to implementing a metaverse in healthcare systems. It also covers challenges, emerging trends and techniques, and future directions for meta-healthcare systems.
Procedural Content Generation In Games
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Author : Noor Shaker
language : en
Publisher: Springer
Release Date : 2016-10-18
Procedural Content Generation In Games written by Noor Shaker and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-18 with Computers categories.
This book presents the most up-to-date coverage of procedural content generation (PCG) for games, specifically the procedural generation of levels, landscapes, items, rules, quests, or other types of content. Each chapter explains an algorithm type or domain, including fractal methods, grammar-based methods, search-based and evolutionary methods, constraint-based methods, and narrative, terrain, and dungeon generation. The authors are active academic researchers and game developers, and the book is appropriate for undergraduate and graduate students of courses on games and creativity; game developers who want to learn new methods for content generation; and researchers in related areas of artificial intelligence and computational intelligence.
Generative Deep Learning
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Author : David Foster
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2019-06-28
Generative Deep Learning written by David Foster and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-28 with Computers categories.
Generative modeling is one of the hottest topics in AI. It’s now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models. Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you’ll understand how to make your models learn more efficiently and become more creative. Discover how variational autoencoders can change facial expressions in photos Build practical GAN examples from scratch, including CycleGAN for style transfer and MuseGAN for music generation Create recurrent generative models for text generation and learn how to improve the models using attention Understand how generative models can help agents to accomplish tasks within a reinforcement learning setting Explore the architecture of the Transformer (BERT, GPT-2) and image generation models such as ProGAN and StyleGAN
Architectonics Of Game Spaces
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Author : Andri Gerber
language : en
Publisher: Transcript Verlag, Roswitha Gost, Sigrid Nokel u. Dr. Karin Werner
Release Date : 2019-10
Architectonics Of Game Spaces written by Andri Gerber and has been published by Transcript Verlag, Roswitha Gost, Sigrid Nokel u. Dr. Karin Werner this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10 with categories.
What consequences does the design of the virtual yield for architecture and to what extent can architecture be used to turn game-worlds into sustainable places in "reality"? This pioneering collection gives an overview of contemporary developments in designing video games and of the relationships such practices have established with architecture.
Emotionally Durable Design
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Author : Jonathan Chapman
language : en
Publisher: Earthscan
Release Date : 2012-04-27
Emotionally Durable Design written by Jonathan Chapman and has been published by Earthscan this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-27 with Architecture categories.
In today's unsustainable world of goods, where products are desired, purchased, briefly used and then promptly landfilled to make way for more, consumption and waste are rapidly spiralling out of control with truly devastating ecological consequences. Why do we, as a consumer society, have such short-lived and under-stimulating relationships with the objects that we invest such time, thought and money in acquiring, but that will soon be thoughtlessly discarded? Emotionally Durable Design is a call to arms for professionals, students and academic creatives; proposing the emergence of a new genre of sustainable design that reduces consumption and waste by increasing the durability of relationships established between users and products. In this provocative text, Jonathan Chapman pioneers a radical design about-face to reduce the impact of modern consumption without compromising commercial viability or creative edge. The author explores the essential question, why do users discard products that still work? It transports the reader beyond symptom-focused approaches to sustainable design such as design for recycling, biodegradeability and disassembly, to address the actual causes that underpin the environmental crisis we face. The result is a revealing exploration of consumer psychology and the deep motivations that fuel the human condition, and a rich resource of creative strategies and practical tools that will enable designers from a range of disciplines to explore new ways of thinking and of designing objects capable of supporting deeper and more meaningful relationships with their users.This is fresh thinking for a brave new world of creative, durable and sustainable products, buildings, spaces and designed experiences.
Reinforcement Learning
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Author : Richard S. Sutton
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Reinforcement Learning written by Richard S. Sutton and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Reinforcement learning is the learning of a mapping from situations to actions so as to maximize a scalar reward or reinforcement signal. The learner is not told which action to take, as in most forms of machine learning, but instead must discover which actions yield the highest reward by trying them. In the most interesting and challenging cases, actions may affect not only the immediate reward, but also the next situation, and through that all subsequent rewards. These two characteristics -- trial-and-error search and delayed reward -- are the most important distinguishing features of reinforcement learning. Reinforcement learning is both a new and a very old topic in AI. The term appears to have been coined by Minsk (1961), and independently in control theory by Walz and Fu (1965). The earliest machine learning research now viewed as directly relevant was Samuel's (1959) checker player, which used temporal-difference learning to manage delayed reward much as it is used today. Of course learning and reinforcement have been studied in psychology for almost a century, and that work has had a very strong impact on the AI/engineering work. One could in fact consider all of reinforcement learning to be simply the reverse engineering of certain psychological learning processes (e.g. operant conditioning and secondary reinforcement). Reinforcement Learning is an edited volume of original research, comprising seven invited contributions by leading researchers.
A Pattern Language
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Author : Christopher Alexander
language : en
Publisher: Oxford University Press
Release Date : 2018-09-20
A Pattern Language written by Christopher Alexander and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-20 with Architecture categories.
You can use this book to design a house for yourself with your family; you can use it to work with your neighbors to improve your town and neighborhood; you can use it to design an office, or a workshop, or a public building. And you can use it to guide you in the actual process of construction. After a ten-year silence, Christopher Alexander and his colleagues at the Center for Environmental Structure are now publishing a major statement in the form of three books which will, in their words, "lay the basis for an entirely new approach to architecture, building and planning, which will we hope replace existing ideas and practices entirely." The three books are The Timeless Way of Building, The Oregon Experiment, and this book, A Pattern Language. At the core of these books is the idea that people should design for themselves their own houses, streets, and communities. This idea may be radical (it implies a radical transformation of the architectural profession) but it comes simply from the observation that most of the wonderful places of the world were not made by architects but by the people. At the core of the books, too, is the point that in designing their environments people always rely on certain "languages," which, like the languages we speak, allow them to articulate and communicate an infinite variety of designs within a forma system which gives them coherence. This book provides a language of this kind. It will enable a person to make a design for almost any kind of building, or any part of the built environment. "Patterns," the units of this language, are answers to design problems (How high should a window sill be? How many stories should a building have? How much space in a neighborhood should be devoted to grass and trees?). More than 250 of the patterns in this pattern language are given: each consists of a problem statement, a discussion of the problem with an illustration, and a solution. As the authors say in their introduction, many of the patterns are archetypal, so deeply rooted in the nature of things that it seemly likely that they will be a part of human nature, and human action, as much in five hundred years as they are today.
Learning Deep Learning
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Author : Magnus Ekman
language : en
Publisher: Addison-Wesley Professional
Release Date : 2021-07-19
Learning Deep Learning written by Magnus Ekman and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-19 with Computers categories.
NVIDIA's Full-Color Guide to Deep Learning: All You Need to Get Started and Get Results "To enable everyone to be part of this historic revolution requires the democratization of AI knowledge and resources. This book is timely and relevant towards accomplishing these lofty goals." -- From the foreword by Dr. Anima Anandkumar, Bren Professor, Caltech, and Director of ML Research, NVIDIA "Ekman uses a learning technique that in our experience has proven pivotal to success—asking the reader to think about using DL techniques in practice. His straightforward approach is refreshing, and he permits the reader to dream, just a bit, about where DL may yet take us." -- From the foreword by Dr. Craig Clawson, Director, NVIDIA Deep Learning Institute Deep learning (DL) is a key component of today's exciting advances in machine learning and artificial intelligence. Learning Deep Learning is a complete guide to DL. Illuminating both the core concepts and the hands-on programming techniques needed to succeed, this book is ideal for developers, data scientists, analysts, and others--including those with no prior machine learning or statistics experience. After introducing the essential building blocks of deep neural networks, such as artificial neurons and fully connected, convolutional, and recurrent layers, Magnus Ekman shows how to use them to build advanced architectures, including the Transformer. He describes how these concepts are used to build modern networks for computer vision and natural language processing (NLP), including Mask R-CNN, GPT, and BERT. And he explains how a natural language translator and a system generating natural language descriptions of images. Throughout, Ekman provides concise, well-annotated code examples using TensorFlow with Keras. Corresponding PyTorch examples are provided online, and the book thereby covers the two dominating Python libraries for DL used in industry and academia. He concludes with an introduction to neural architecture search (NAS), exploring important ethical issues and providing resources for further learning. Explore and master core concepts: perceptrons, gradient-based learning, sigmoid neurons, and back propagation See how DL frameworks make it easier to develop more complicated and useful neural networks Discover how convolutional neural networks (CNNs) revolutionize image classification and analysis Apply recurrent neural networks (RNNs) and long short-term memory (LSTM) to text and other variable-length sequences Master NLP with sequence-to-sequence networks and the Transformer architecture Build applications for natural language translation and image captioning NVIDIA's invention of the GPU sparked the PC gaming market. The company's pioneering work in accelerated computing--a supercharged form of computing at the intersection of computer graphics, high-performance computing, and AI--is reshaping trillion-dollar industries, such as transportation, healthcare, and manufacturing, and fueling the growth of many others. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.