Robots with Artificial Intelligence and Spectroscopic Sight in Hi-Tech Labor Market
International Journal of Systems Science and Applied Mathematics
Volume 4, Issue 3, September 2019, Pages: 31-37
Received: Aug. 21, 2019; Accepted: Sep. 17, 2019; Published: Sep. 26, 2019
Views 57      Downloads 10
Author
Evgeniy Bryndin, Research Сenter "Estestvoinformatika", Novosibirsk, Russia
Article Tools
Follow on us
Abstract
The artificial intelligence of the robot is the digital double of intelligence of the person capable to training, retraining, self-realization and development of professional and behavioural creative innovative competences and skills. The robot represents a technological and program cognitive complex. The realization of artificial intelligence the robot is enabled on the basis of criterion of preferences of improvement of functional activity by realization of actions of function of usefulness and high-quality selection of extensive statistics of the accumulated professional and behavioural creative innovative competences and skills of the person. Transdectoral digital studies of human, nature, society and production communication enable the creation of digital twins of social services and production of products and the technological process of equipment operation. Digital dupes related to the service sector or production are created for intelligent process and equipment management. Intelligent production management with a digital twin optimizes its operation, increases productivity and competitiveness of products according to quality and price. Human digital twins provide services in the social sphere and in space. Training of digital twins in professional competences is carried out on the basis of communicative associative logic of technological thinking by cognitive methods. Cognitive psychology experts investigating the effectiveness of machine learning techniques offer a new approach that allows artificial intelligence and cognitive psychology to be combined. This approach provides pre-preparation of neural networks from accumulated data using existing behaviors. The approach combines existing scientific theories of human behavior with the flexibility of neural networks to make better decisions made by humans in space and in extreme situations. From a practical point of view, this makes it possible to more accurately determine the behavior of a human digital twin in space and in extreme situations. The spectroscopic sight of the robot perceives objects and objects of their range of frequencies. For training of the robot in recognition of objects and objects the frequency spectral technology of machine learning is used. The spectroscopic sight perceives a range of radiations of objects, and the artificial trained neural network distinguishes them on a range.
Keywords
Artificial Intelligence, Digital Double, Criterion of Preferences, Function of Usefulness, Qualitative Selection, Spectroscopic Sight
To cite this article
Evgeniy Bryndin, Robots with Artificial Intelligence and Spectroscopic Sight in Hi-Tech Labor Market, International Journal of Systems Science and Applied Mathematics. Vol. 4, No. 3, 2019, pp. 31-37. doi: 10.11648/j.ijssam.20190403.11
Copyright
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
References
[1]
Markets and Markets Research —"Collaborative Robots Market", 2017. URL: https://www.marketsandmarkets.com/Market-Reports/collaborative-robot-market-194541294.html.
[2]
Robotics Business Review — “The 2017 RBR50 List Names Robotics Industry Leaders, Innovators”, 2017 URL: https://www.roboticsbusinessreview.com/download/2017-rbr50-list-names-robotics-industry-leaders-innovators/.
[3]
Cision. “Top Robotics Market by Industrial Robotics, Service Robotics — Global Forecast to 2022”, 2017. URL: https://www.prnewswire.com/news-releases/top-roboticsmarket-by-industrial-robotics-service-robotics---global-forecastto-2022-300405291.html.
[4]
Gizmodo. “Robots Are Already Replacing Human Workers at an Alarming Rate”, 2017. URL: https://gizmodo.com/robots-arealready-replacing-human-workers-at-an-alarmi-1793718198.
[5]
Evgeniy Bryndin. Cognitive Robots with Imitative Thinking for Digital Libraries, Banks, Universities and Smart Factories. International Journal of Management and Fuzzy Systems. V. 3, N. 5, 2017, pp 57-66.
[6]
Evgeniy Bryndin. Technological Thinking, Communication and Behavior of Androids. Communications. Vol. 6, No. 1, 2018. Pages: 13-19.
[7]
Venture radar — “Top Service Robotics Companies”, 2018. URL: https://www.ventureradar.com/keyword/Service%20Robotics.
[8]
Pedro Domingos. Supreme algorithm. How machine learning will change our world. – M.: Mann, Ivanov and Ferber, 2016. — 336 pages.
[9]
Evgeniy Bryndin. Program Hierarchical Realization of Adaptation Behavior of the Cognitive Mobile Robot with Imitative Thinking. International Journal of Engineering Management. Volume 1, Issue 4. 2017, pp. 74-79.
[10]
Evgeniy Bryndin. Social Cognitive Smart Robots: Guide, Seller, Lecturer, Vacuum Cleaner, Nurse, Volunteer, Security Guard, Administrator. Communications. Volume 7, Issue 1. 2019. Pages: 6-12.
[11]
Report of COMEST on robotics ethics, 2017. URL: https://unesdoc.unesco.org/ark:/48223/pf0000253952he.
[12]
Evgeniy Bryndin. Technological, Economic and Social Aspects of Management by Development of the Digital Industry 4.0. International Journal of Managerial Studies and Research (IJMSR), vol 6, no. 4, 2018, pp. 19-30.
[13]
Evgeniy Bryndin. Directions of Development of Industry 4.0, Digital Technology and Social Economy. American Journal of Information Science and Technology. V 2, Issue 1. 2018. P. 9-17.
[14]
Evgeniy Bryndin. Human Digital Doubles with Technological Cognitive Thinking and Adaptive Behaviour. Software Engineering, Volume 7, Issue 1, 2019. P. 1-9.
[15]
Evgeniy Bryndin. System retraining to professional competences of cognitive robots on basis of communicative associative logic of technological thinking. International Robotics Automation Journal. 2019; 5 (3): 112-119.
[16]
Evgeniy Bryndin. Creative innovative transformational ecosystem of formation of humane technological society. International Robotics Automation Journal. 2019; 5 (3): 91-94.
[17]
Artificial Intelligence & Robotics: Industry Report & Investment Case. 2019. https://indexes.nasdaqomx.com/docs/NQROBO%20Research.pdf.
[18]
Deep Learning based Recommender System: A Survey and New Perspectives, Shuai Zhang et al., 2018. https://arxiv.org/pdf/1707.07435.pdf.
[19]
Google’s Artificial Intelligence Built an AI That Outperforms Any Made by Humans. 2019 https://futur-ism.com/google-artificial-intelligence-built-ai.
[20]
Bryndin E. G. Putmakov A. N. Frequency color visualization of a condition of the person according to spectral analysis of biofield and biodiagnostics. Journal of Medical Practice and Review. 3 (4)-2019. Pages: 505-509.
ADDRESS
Science Publishing Group
1 Rockefeller Plaza,
10th and 11th Floors,
New York, NY 10020
U.S.A.
Tel: (001)347-983-5186