Artificial Intelligence Handbook Principles
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| Author | : Nils J. Nilsson |
| Publisher | : Morgan Kaufmann |
| Total Pages | : 493 |
| Release | : 2014-06-28 |
| Genre | : Computers |
| ISBN | : 1483295869 |
A classic introduction to artificial intelligence intended to bridge the gap between theory and practice, Principles of Artificial Intelligence describes fundamental AI ideas that underlie applications such as natural language processing, automatic programming, robotics, machine vision, automatic theorem proving, and intelligent data retrieval. Rather than focusing on the subject matter of the applications, the book is organized around general computational concepts involving the kinds of data structures used, the types of operations performed on the data structures, and the properties of the control strategies used. Principles of Artificial Intelligenceevolved from the author's courses and seminars at Stanford University and University of Massachusetts, Amherst, and is suitable for text use in a senior or graduate AI course, or for individual study.
| Author | : Larry A. DiMatteo |
| Publisher | : Cambridge University Press |
| Total Pages | : 1230 |
| Release | : 2022-08-11 |
| Genre | : Law |
| ISBN | : 1009080741 |
The technology and application of artificial intelligence (AI) throughout society continues to grow at unprecedented rates, which raises numerous legal questions that to date have been largely unexamined. Although AI now plays a role in almost all areas of society, the need for a better understanding of its impact, from legal and ethical perspectives, is pressing, and regulatory proposals are urgently needed. This book responds to these needs, identifying the issues raised by AI and providing practical recommendations for regulatory, technical, and theoretical frameworks aimed at making AI compatible with existing legal rules, principles, and democratic values. An international roster of authors including professors of specialized areas of law, technologists, and practitioners bring their expertise to the interdisciplinary nature of AI.
| Author | : David W. Rolston |
| Publisher | : McGraw-Hill Companies |
| Total Pages | : 280 |
| Release | : 1988 |
| Genre | : Computers |
| ISBN | : 9780070536142 |
Computing Methodologies -- Artificial Intelligence.
| Author | : Shmelova, Tetiana |
| Publisher | : IGI Global |
| Total Pages | : 517 |
| Release | : 2019-10-11 |
| Genre | : Computers |
| ISBN | : 1799814173 |
With the emergence of smart technology and automated systems in today’s world, artificial intelligence (AI) is being incorporated into an array of professions. The aviation and aerospace industry, specifically, is a field that has seen the successful implementation of early stages of automation in daily flight operations through flight management systems and autopilot. However, the effectiveness of aviation systems and the provision of flight safety still depend primarily upon the reliability of aviation specialists and human decision making. The Handbook of Research on Artificial Intelligence Applications in the Aviation and Aerospace Industries is a pivotal reference source that explores best practices for AI implementation in aviation to enhance security and the ability to learn, improve, and predict. While highlighting topics such as computer-aided design, automated systems, and human factors, this publication explores the enhancement of global aviation security as well as the methods of modern information systems in the aeronautics industry. This book is ideally designed for pilots, scientists, engineers, aviation operators, air crash investigators, teachers, academicians, researchers, and students seeking current research on the application of AI in the field of aviation.
| Author | : Victor Hugo C. De Albuquerque |
| Publisher | : Medical Information Science Reference |
| Total Pages | : 325 |
| Release | : 2022 |
| Genre | : |
| ISBN | : 9781668437919 |
"This book focuses on the Explainable Artificial Intelligence (XAI) for healthcare, providing a broad overview of state-of-art approaches for accurate analysis and diagnosis, and encompassing computational vision processing techniques that handle complex data like physiological information, electronic healthcare records, medical imaging data that assist in earlier prediction"--
| Author | : Anil K. Philip |
| Publisher | : Academic Press |
| Total Pages | : 644 |
| Release | : 2023-03-27 |
| Genre | : Computers |
| ISBN | : 0323903738 |
A Handbook of Artificial Intelligence in Drug Delivery explores the use of Artificial Intelligence (AI) in drug delivery strategies. The book covers pharmaceutical AI and drug discovery challenges, Artificial Intelligence tools for drug research, AI enabled intelligent drug delivery systems and next generation novel therapeutics, broad utility of AI for designing novel micro/nanosystems for drug delivery, AI driven personalized medicine and Gene therapy, 3D Organ printing and tissue engineering, Advanced nanosystems based on AI principles (nanorobots, nanomachines), opportunities and challenges using artificial intelligence in ADME/Tox in drug development, commercialization and regulatory perspectives, ethics in AI, and more. This book will be useful to academic and industrial researchers interested in drug delivery, chemical biology, computational chemistry, medicinal chemistry and bioinformatics. The massive time and costs investments in drug research and development necessitate application of more innovative techniques and smart strategies. - Focuses on the use of Artificial Intelligence in drug delivery strategies and future impacts - Provides insights into how artificial intelligence can be effectively used for the development of advanced drug delivery systems - Written by experts in the field of advanced drug delivery systems and digital health
| Author | : Woodrow Barfield |
| Publisher | : Edward Elgar Publishing |
| Total Pages | : 731 |
| Release | : 2018-12-28 |
| Genre | : Computers |
| ISBN | : 1786439050 |
The field of artificial intelligence (AI) has made tremendous advances in the last two decades, but as smart as AI is now, it is getting smarter and becoming more autonomous. This raises a host of challenges to current legal doctrine, including whether AI/algorithms should count as ‘speech’, whether AI should be regulated under antitrust and criminal law statutes, and whether AI should be considered as an agent under agency law or be held responsible for injuries under tort law. This book contains chapters from US and international law scholars on the role of law in an age of increasingly smart AI, addressing these and other issues that are critical to the evolution of the field.
| 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 | : A. Eli Nisenfeld |
| Publisher | : |
| Total Pages | : 258 |
| Release | : 1989 |
| Genre | : Computers |
| ISBN | : |
| Author | : Andreas Wichert |
| Publisher | : World Scientific Publishing Company |
| Total Pages | : 0 |
| Release | : 2014 |
| Genre | : Artificial intelligence |
| ISBN | : 9789814566742 |
In this book, we introduce quantum computation and its application to AI. We highlight problem solving and knowledge representation framework. Based on information theory, we cover two main principles of quantum computation -- Quantum Fourier transform and Grover search. Then, we indicate how these two principles can be applied to problem solving and finally present a general model of a quantum computer that is based on production systems.
