scholarly journals COVID-19 MONITORING AND TRACKING SYSTEM USING INFORMATION TECHNOLOGIES AND ARTIFICIAL INTELLIGENCE

2021 ◽  
Author(s):  
Igor Vikhrov ◽  
Sherzod Ashirbaev
Keyword(s):  
Artificial Intelligence ◽  
Information Technologies ◽  
Tracking System

CONTENT OF TEACHING THE ELEMENTS OF ARTIFICIAL INTELLIGENCE IN A SCHOOL INFORMATICS COURSE

2020 ◽  
pp. 3-10
Author(s):  
I. V. Levchenko
Keyword(s):  
Artificial Intelligence ◽  
General Education ◽  
Extracurricular Activities ◽  
Information Technologies ◽  
Learning Experience ◽  
9Th Grade ◽  
Modern Information ◽  
Further Development ◽  
Form Variant ◽  
Theoretical Foundations

The article considers the feasibility of integrating artificial intelligence technologies into school education and identifies a problem in identifying didactic elements in the field of artificial intelligence, which must be mastered in a school informatics course. The purpose of the article is to propose variant of the content of teaching the elements of artificial intelligence for the general education of schoolchildren as part of the curricular and extracurricular activities in informatics. An analysis of the psychological, pedagogical and scientific-methodical literature in the field of artificial intelligence made it possible to identify the appropriateness of teaching schoolchildren the elements of artificial intelligence in the framework of a comprehensive informatics course, as the theoretical foundations of modern information technologies. Summarizing and systematizing the learning experience of schoolchildren in the field of artificial intelligence made it possible to form variant of the content of teaching the elements of artificial intelligence, which can be implemented in a compulsory informatics course for 9th grade, as well as in elective classes. The results of the study are the theoretical basis for the further development of the components of the methodological system of teaching the elements of artificial intelligence in a school informatics course. The research materials may be useful to specialists in the field of teaching informatics and to informatics teachers.

scholarly journals Economic and legal aspects of the innovative activity of enterprises in the context of the digital economy

2021 ◽  
Vol 34 (02) ◽  
pp. 964-972
Author(s):  
Olga Vladimirovna Markova ◽  
Ekaterina Yevgenievna Listopad ◽  
Aleksandr Vladimirovich Shelygov ◽  
Alexander Grigorievich Fedorov ◽  
Igor Valentinovich Kiselevich
Keyword(s):  
Artificial Intelligence ◽  
Internal Control ◽  
Information Technologies ◽  
Self Regulation ◽  
Legal Framework ◽  
Legal Aspects ◽  
Digital Economy ◽  
Innovative Activity ◽  
Control Measures ◽  
External Threats

The article deals with the economic and legal aspects of the innovative activity of enterprises in the context of the digital economy. The authors have established that the innovative activity of enterprises includes also the development of artificial intelligence and robotics and that in the current conditions when creating and using artificial intelligence technologies, the issue of ensuring national security in the digital environment becomes extremely important. In this case, the strategic goal of ensuring information security is to protect the vital interests of the individual and society against internal and external threats associated with the application of information technologies for various purposes contrary to civil law. It is proved that innovations will increase the investment attractiveness of the business, maintain a balance of creative freedom and internal control measures, self-regulation in the field of digital technologies, and develop a unified legal framework in the economic space.

Determination of Factors Affecting Safety Stress in Machine Design by Using Artificial Intelligence Technologies

2008 ◽  
Vol 144 ◽  
pp. 232-237
Author(s):  
Durmus Karayel ◽  
Sinan Serdar Ozkan ◽  
Fahri Vatansever
Keyword(s):  
Artificial Intelligence ◽  
Information Technologies ◽  
Intelligent System ◽  
System Model ◽  
Multi Agent System ◽  
Safety Factors ◽  
Agent System ◽  
Factors Affecting ◽  
Classical Design ◽  
Multi Agent

In this study, an intelligent system model that can evaluate experimental material properties and safety factors is developed. The model contains Artificial Intelligence Technologies such as Artificial Neural Network (ANN) and Fuzzy Logic. It consists of sub modules into interaction. Also, the model can obtain more precision values than interpolation techniques used to classical design. The study contributes to define safety factors, design criterions and safety stress according to a new approach based on information technologies. So, this study can be seen as one of the sub modules of Intelligence Multi Agent System and it can be integrated with Multi Agent System Model for design. Also, it can be used for classical design studies so that results can be quickly obtained. It is expected that this approach will be widely used by designers.

Prospects for the development of artificial intelligence in Russia

2021 ◽  
pp. 77-82
Author(s):  
Г.С. Мокану
Keyword(s):  
Artificial Intelligence ◽  
Russian Federation ◽  
Information Technologies ◽  
Current Situation ◽  
Innovation Activity ◽  
The Russian Federation

Статья посвящена обзору современной ситуации и перспектив развития искусственного интеллекта в Российской Федерации. Россия обладает огромным потенциалом для развития искусственного интеллекта и информационных технологий, в связи с этим актуальным становится изучение проблем развития данных сфер. Помимо этого статья излагает варианты решения проблем повышения инновационной активности в области искусственного интеллекта и информационных технологий. The article is devoted to the review of the current situation and prospects for the development of artificial intelligence in the Russian Federation. Russia has a huge potential for the development of artificial intelligence and information technologies, in this regard, the study of the problems of the development of these areas becomes relevant. In addition, the article presents options for solving the problems of increasing innovation activity in the field of artificial intelligence and information technologies.

scholarly journals Robots, inteligencia artificial y realidad virtual: una aproximación en el sector del turismo

2019 ◽  
pp. 13-26
Author(s):  
María del Mar Alonso Almeida
Keyword(s):  
Artificial Intelligence ◽  
Virtual Reality ◽  
Information Technologies ◽  
Tourism Sector

A pesar de los cambios producidos por las tecnologías de la información e internet en el sector turismo, los pronósticos apuntan a que una nueva revolución se va a producir propiciada por la introducción de robots, inteligencia artificial y realidad virtual en las industrias turísticas. En la actualidad, la adopción de estas tecnologías está en un estadio muy inicial pero la investigación realizada en otros sectores apunta a que las mismas podrían también tener un gran impacto en las operaciones turística. In spite of the changes produced by the information technologies and internet in the tourism sector, the forecasts point out a new revolution produced by the introduction of robots, artificial intelligence and virtual reality in the tourist industries. Currenly, the adoption of these technologies is in their infancy but the research carried out in other sectors suggests that they also could have a great impact on the tourism.

scholarly journals Artificial Intelligence-Assisted Loop Mediated Isothermal Amplification (AI-LAMP) for Rapid Detection of SARS-CoV-2

Viruses ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 972 ◽  
Author(s):  
Mohammed A. Rohaim ◽  
Emily Clayton ◽  
Irem Sahin ◽  
Julianne Vilela ◽  
Manar E. Khalifa ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
De Novo ◽  
Tracking System ◽  
Lamp Assay ◽  
Cost Effective ◽  
Isothermal Amplification ◽  
Analytical Sensitivity ◽  
Diagnostic Device ◽  
Loop Mediated Isothermal Amplification ◽  
Resource Limited

Until vaccines and effective therapeutics become available, the practical solution to transit safely out of the current coronavirus disease 19 (CoVID-19) lockdown may include the implementation of an effective testing, tracing and tracking system. However, this requires a reliable and clinically validated diagnostic platform for the sensitive and specific identification of SARS-CoV-2. Here, we report on the development of a de novo, high-resolution and comparative genomics guided reverse-transcribed loop-mediated isothermal amplification (LAMP) assay. To further enhance the assay performance and to remove any subjectivity associated with operator interpretation of results, we engineered a novel hand-held smart diagnostic device. The robust diagnostic device was further furnished with automated image acquisition and processing algorithms and the collated data was processed through artificial intelligence (AI) pipelines to further reduce the assay run time and the subjectivity of the colorimetric LAMP detection. This advanced AI algorithm-implemented LAMP (ai-LAMP) assay, targeting the RNA-dependent RNA polymerase gene, showed high analytical sensitivity and specificity for SARS-CoV-2. A total of ~200 coronavirus disease (CoVID-19)-suspected NHS patient samples were tested using the platform and it was shown to be reliable, highly specific and significantly more sensitive than the current gold standard qRT-PCR. Therefore, this system could provide an efficient and cost-effective platform to detect SARS-CoV-2 in resource-limited laboratories.

Systematization and improvement legal regulation of the use of artificial intelligence in law enforcement

2020 ◽  
Vol 7 (1) ◽  
pp. 106-112
Author(s):  
Vadim K. Barchukov
Keyword(s):  
Artificial Intelligence ◽  
Law Enforcement ◽  
Russian Federation ◽  
Information Technologies ◽  
Ethical Issues ◽  
Legal Regulation ◽  
Information Support ◽  
Law Enforcement Agencies ◽  
Effective Work ◽  
The Russian Federation

The article systematizes legal acts at the international, Federal and departmental levels on the use of artificial intelligence in law enforcement. In particular, at the international level, the corresponding legal act, according to the author, should contain three components of legal regulation: 1) regulate the organization and construction of an artificial intelligence system between States; 2) determine the principles of functioning of artificial intelligence; 3) regulate the ethical issues of using artificial intelligence. The legal basis for the use of artificial intelligence systems in law enforcement at the Federal level, in addition to the Constitution of the Russian Federation, should be the Strategy for the development of the information society in the Russian Federation (Strategy) for 2017-2030, as well as some special Federal laws (for example, the Law of Moscow), which are designed to specify the mechanism for using the advantages of artificial intelligence in all spheres of public life, including law enforcement. The author notes that the mentioned strategy defines only the General provisions of the state policy on the development of information technologies and artificial intelligence technologies. At the same time, the implementation of national interests outlined in the Strategy is impossible without the effective work of law enforcement agencies, whose functioning, in turn, is impossible without a well-built system of interaction between information support and artificial intelligence. The final part of the paper presents some proposals for improving the legal regulation of the use of artificial intelligence in law enforcement, in particular, justifies the need to adopt a national Doctrine for the use of a Unified system of information support and artificial intelligence in the activities of law enforcement agencies.

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