Artificial Intelligence and Cultural Heritage represent a combination that for several years has interested both scientific and cultural institutions regarding the potential of possible interactions and aggregations among the various players in these areas. This volume defines roles and provides connections where research and new technologies can suggest routes and competitive solutions that integrate tourism and culture with business and the market. The volume is multidisciplinary, presenting and discussing a variety of new ideas, resulting from the integration of different scientific approaches. The papers brought together here deal with topics including the representation of cultural history, semantic digital archives, the use of analytic tools to support visitor interpretation, augmented reality, and robotics. As such, this book represents the detailed investigation of methodological and applicative aspects that the continued proliferation of computer applications in the cultural heritage field demands.

Artificial Intelligence and Cultural Heritage represent a combination that for several years has interested both scientific and cultural institutions regarding the potential of possible interactions and aggregations among the various players in these areas. This volume defines roles and provides connections where research and new technologies can suggest routes and competitive solutions that integrate tourism and culture with business and the market. The volume is multidisciplinary, presenting and discussing a variety of new ideas, resulting from the integration of different scientific approaches. The papers brought together here deal with topics including the representation of cultural history, semantic digital archives, the use of analytic tools to support visitor interpretation, augmented reality, and robotics. As such, this book represents the detailed investigation of methodological and applicative aspects that the continued proliferation of computer applications in the cultural heritage field demands.

This book considers the challenges related to the effective implementation of artificial intelligence (AI) and machine learning (ML) technologies to the cultural heritage digitization process. Particular focus is placed on improvements to the data acquisition stage, as well as the data enrichment and curation stages, using advanced artificial intelligence techniques and tools. An emphasis is placed on recent applications related to deep learning for visual recognition, generative models, natural language processing, and super resolution. The book is a valuable reference for researchers working in the multidisciplinary field of cultural heritage and AI, as well as professional experts in the art and culture domains, such as museums, libraries, and historic sites and buildings. Reports on techniques and methods that leverage AI and machine learning and their impact on the digitization of cultural heritage; Addresses challenges of improving data acquisition, enrichment and management processes; Highlights contributions from international researchers from diverse fields and subject areas.

This book offers an in-depth academic discourse on the convergence of AI, digital platforms, and popular culture, in order to understand the ways in which the platform and cultural industries have reshaped and developed AI-driven algorithmic cultural production and consumption. At a time of fundamental change for the media and cultural industries, driven by the emergence of big data, algorithms, and AI, the book examines how media ecology and popular culture are evolving to serve the needs of both media and cultural industries and consumers. The analysis documents global governments’ rapid development of AI-relevant policies and identifies key policy issues; examines the ways in which cultural industries firms utilize AI and algorithms to advance the new forms of cultural production and distribution; investigates change in cultural consumption by analyzing the ways in which AI, algorithms, and digital platforms reshape people’s consumption habits; and examines whether governments and corporations have advanced reliable public and corporate policies and ethical codes to secure socio-economic equality. Offering a unique perspective on this timely and vital issue, this book will be of interest to scholars and students in media studies, communication studies, anthropology, globalization studies, sociology, cultural studies, Asian studies, and science and technology studies (STS).

In the modern age of the 4th Industrial Revolution, advancements in communication and connectivity are transforming the professional world as new technologies are being embedded into society. These innovations have triggered the development of a digitally driven world where adaptation is necessary. This is no different in the architectural field, where the changing paradigm has opened new methods and advancements that have yet to be researched. Impact of Industry 4.0 on Architecture and Cultural Heritage is a pivotal reference source that provides vital research on the application of new technological tools, such as digital modeling, within architectural design, and improves the understanding of the strategic role of Industry 4.0 as a tool to empower the role of architecture and cultural heritage in society. Moreover, the book provides insights and support concerned with advances in communication and connectivity among digital environments in different types of research and industry communities. While highlighting topics such as semantic processing, crowdsourcing, and interactive environments, this publication is ideally designed for architects, engineers, construction professionals, cultural researchers, academicians, and students.

This book collects contributions which showcase the impact of new augmented reality (AR) and artificial intelligence (AI) technologies considered jointly in the fields of cultural heritage and innovative design. AR is an alternative path of analysis and communication if applied to several fields of research, in particular if related to space and artifacts in it. This happens because the neural network development strengthens the relationship between augmented reality and artificial intelligence, creating processes close to human thought in shorter times. In the last years, the AR/AI expansion and the future scenarios have raised a deep trans-disciplinary speculation. The disciplines of representation (drawing, surveying, visual communication), as a convergence place of multidisciplinary theoretical and applicative studies related to architecture, city, environment, tangible and intangible cultural heritage, are called to contribute to the international debate. The book chapters deal with augmented reality and artificial intelligence, analyzing their connections as research tools for knowing the environment. In particular, the topics focus on the intersection between real and virtual world and on the heuristic role of drawing in the enhancement and management of cultural heritage, in planning and monitoring the architecture, the environment, or the infrastructures. Scientists involved in AR and AI research applied separately or together in the field of cultural heritage, architectural design, urban planning, and infrastructures analysis, as well as members of public and private organizations make up interdisciplinary groups that fuel the discussion focusing on the priorities and aims of the research related to the disciplines of representation.