| Advances in Artificial Systems for Medicine and Education IV 2021 Edition Contributor(s): Hu, Zhengbing (Editor), Petoukhov, Sergey (Editor), He, Matthew (Editor) |
|
 |
ISBN: 3030671321 ISBN-13: 9783030671327 Publisher: Springer OUR PRICE: $161.49 Product Type: Paperback Published: January 2021 |
| Additional Information |
| BISAC Categories: - Computers | Data Processing - Technology & Engineering | Biomedical - Computers | Intelligence (ai) & Semantics |
| Physical Information: 0.86" H x 6.14" W x 9.21" (1.29 lbs) 410 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |