Advances In Artificial Systems For Medicine And Education Iv

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Advances in Artificial Systems for Medicine and Education IV

Advances in Artificial Systems for Medicine and Education IV
Author :
Publisher : Springer Nature
Total Pages : 414
Release :
ISBN-10 : 9783030671334
ISBN-13 : 303067133X
Rating : 4/5 (33X Downloads)

Book Synopsis Advances in Artificial Systems for Medicine and Education IV by : Zhengbing Hu

Download or read book Advances in Artificial Systems for Medicine and Education IV written by Zhengbing Hu and published by Springer Nature. This book was released on 2021-01-29 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the latest advances for the development of artificial intelligence systems and their applications in various fields from medicine and technology to education. The proceedings comprise refereed papers presented at the Fourth International Conference of Artificial Intelligence, Medical Engineering, Education (AIMEE2020), held at the Mechanical Engineering Institute of the Russian Academy of Sciences, Moscow, Russia, in 3–4 October 2020. Given the rapid development of artificial intelligence systems, the book emphasizes the need for the intensification of training of a growing number of relevant specialists, in particular, in medical engineering to increase the effectiveness of medical diagnosing and treatment. In digital artificial intelligence systems, scientists endeavor to reproduce the innate intellectual abilities of human and other organisms, and the in-depth study of genetic systems and inherited biological processes can provide new approaches to create more and more effective artificial intelligence methods. Topics of the included papers concern thematic materials in the following spheres: mathematics and biomathematics; medical approaches; technological and educational approaches. The book is a compilation of state-of-the-art papers in the field, covering a comprehensive range of subjects that is relevant to business managers and engineering professionals alike. The breadth and depth of these proceedings make them an excellent resource for asset management practitioners, researchers, and academics, as well as undergraduate and postgraduate students interested in artificial intelligence and bioinformatics systems as well as their growing applications. Intended readership includes specialists, students, and other circles of readers who would like to know where artificial intelligence systems can be applied in the future with great benefit.


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