Handbook Of Artificial Intelligence For Music
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| Author | : Eduardo Reck Miranda |
| Publisher | : Springer Nature |
| Total Pages | : 994 |
| Release | : 2021-07-02 |
| Genre | : Computers |
| ISBN | : 3030721167 |
This book presents comprehensive coverage of the latest advances in research into enabling machines to listen to and compose new music. It includes chapters introducing what we know about human musical intelligence and on how this knowledge can be simulated with AI. The development of interactive musical robots and emerging new approaches to AI-based musical creativity are also introduced, including brain–computer music interfaces, bio-processors and quantum computing. Artificial Intelligence (AI) technology permeates the music industry, from management systems for recording studios to recommendation systems for online commercialization of music through the Internet. Yet whereas AI for online music distribution is well advanced, this book focuses on a largely unexplored application: AI for creating the actual musical content.
| Author | : Avron Barr |
| Publisher | : Butterworth-Heinemann |
| Total Pages | : 443 |
| Release | : 2014-05-12 |
| Genre | : Mathematics |
| ISBN | : 1483214389 |
The Handbook of Artificial Intelligence, Volume II focuses on the improvements in artificial intelligence (AI) and its increasing applications, including programming languages, intelligent CAI systems, and the employment of AI in medicine, science, and education. The book first elaborates on programming languages for AI research and applications-oriented AI research. Discussions cover scientific applications, teiresias, applications in chemistry, dependencies and assumptions, AI programming-language features, and LISP. The manuscript then examines applications-oriented AI research in medicine and education, including ICAI systems design, intelligent CAI systems, medical systems, and other applications of AI to education. The manuscript explores automatic programming, as well as the methods of program specification, basic approaches, and automatic programming systems. The book is a valuable source of data for computer science experts and researchers interested in conducting further research in artificial intelligence.
| Author | : Eduardo Reck Miranda |
| Publisher | : Routledge |
| Total Pages | : 307 |
| Release | : 2013-10-28 |
| Genre | : Performing Arts |
| ISBN | : 1136652787 |
The interplay between emotional and intellectual elements feature heavily in the research of a variety of scientific fields, including neuroscience, the cognitive sciences and artificial intelligence (AI). This collection of key introductory texts by top researchers worldwide is the first study which introduces the subject of artificial intelligence and music to beginners. Eduardo Reck Miranda received a Ph.D. in music and artificial intelligence from the University of Edinburgh, Scotland. He has published several research papers in major international journals and his compositions have been performed worldwide. Also includes 57 musical examples.
| Author | : Keith Frankish |
| Publisher | : Cambridge University Press |
| Total Pages | : 367 |
| Release | : 2014-06-12 |
| Genre | : Computers |
| ISBN | : 0521871425 |
An authoritative, up-to-date survey of the state of the art in artificial intelligence, written for non-specialists.
| Author | : Alex Ruthmann |
| Publisher | : Oxford University Press |
| Total Pages | : 737 |
| Release | : 2017 |
| Genre | : Juvenile Nonfiction |
| ISBN | : 0199372136 |
The Oxford Handbook of Technology and Music Education situates technology in relation to music education from perspectives: historical, philosophical, socio-cultural, pedagogical, musical, economic, and policy.Chapters from a diverse group of authors provide analyses of technology and music education through intersections of gender, theoretical perspective, geographical distribution, and relationship to the field.
| Author | : Frank van Harmelen |
| Publisher | : Elsevier |
| Total Pages | : 1035 |
| Release | : 2008-01-08 |
| Genre | : Computers |
| ISBN | : 0080557023 |
Handbook of Knowledge Representation describes the essential foundations of Knowledge Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field. It includes a tutorial background and cutting-edge developments, as well as applications of Knowledge Representation in a variety of AI systems. This handbook is organized into three parts. Part I deals with general methods in Knowledge Representation and reasoning and covers such topics as classical logic in Knowledge Representation; satisfiability solvers; description logics; constraint programming; conceptual graphs; nonmonotonic reasoning; model-based problem solving; and Bayesian networks. Part II focuses on classes of knowledge and specialized representations, with chapters on temporal representation and reasoning; spatial and physical reasoning; reasoning about knowledge and belief; temporal action logics; and nonmonotonic causal logic. Part III discusses Knowledge Representation in applications such as question answering; the semantic web; automated planning; cognitive robotics; multi-agent systems; and knowledge engineering. This book is an essential resource for graduate students, researchers, and practitioners in knowledge representation and AI. * Make your computer smarter* Handle qualitative and uncertain information* Improve computational tractability to solve your problems easily
| Author | : Saravanan Krishnan |
| Publisher | : CRC Press |
| Total Pages | : 538 |
| Release | : 2021-03-30 |
| Genre | : Computers |
| ISBN | : 100006767X |
Handbook of Artificial Intelligence in Biomedical Engineering focuses on recent AI technologies and applications that provide some very promising solutions and enhanced technology in the biomedical field. Recent advancements in computational techniques, such as machine learning, Internet of Things (IoT), and big data, accelerate the deployment of biomedical devices in various healthcare applications. This volume explores how artificial intelligence (AI) can be applied to these expert systems by mimicking the human expert’s knowledge in order to predict and monitor the health status in real time. The accuracy of the AI systems is drastically increasing by using machine learning, digitized medical data acquisition, wireless medical data communication, and computing infrastructure AI approaches, helping to solve complex issues in the biomedical industry and playing a vital role in future healthcare applications. The volume takes a multidisciplinary perspective of employing these new applications in biomedical engineering, exploring the combination of engineering principles with biological knowledge that contributes to the development of revolutionary and life-saving concepts.
| Author | : Martha Garcia-Murillo |
| Publisher | : Edward Elgar Publishing |
| Total Pages | : 405 |
| Release | : 2024-02-12 |
| Genre | : Computers |
| ISBN | : 1800889976 |
With the advancement in processing power and storage now enabling algorithms to expand their capabilities beyond their initial narrow applications, technology is becoming increasingly powerful. This highly topical Handbook provides a comprehensive overview of the impact of Artificial Intelligence (AI) on work, assessing its impact on an array of economic sectors, their resulting nature of work, and the subsequent policy implications of these changes.
| Author | : Martin Clancy |
| Publisher | : CRC Press |
| Total Pages | : 184 |
| Release | : 2022-09-22 |
| Genre | : Computers |
| ISBN | : 1000688666 |
Artificial Intelligence and Music Ecosystem highlights the opportunities and rewards associated with the application of AI in the creative arts. Featuring an array of voices, including interviews with Jacques Attali, Holly Herndon and Scott Cohen, this book offers interdisciplinary approaches to pressing ethical and technical questions associated with AI. Considering the perspectives of developers, students and artists, as well as the wider themes of law, ethics and philosophy, Artificial Intelligence and Music Ecosystem is an essential introduction for anyone interested in the impact of AI on music, including those studying and working in the creative arts.
| Author | : Ryan Abbott |
| Publisher | : Edward Elgar Publishing |
| Total Pages | : 499 |
| Release | : 2022-12-13 |
| Genre | : Law |
| ISBN | : 1800881908 |
This incisive Handbook offers novel theoretical and doctrinal insights alongside practical guidance on some of the most challenging issues in the field of artificial intelligence and intellectual property. Featuring all original contributions from a diverse group of international thought leaders, including top academics, judges, regulators and eminent practitioners, it offers timely perspectives and research on the relationship of AI to copyright, trademark, design, patent and trade secret law.
