Artificial Intelligence in Infection Control—Healthcare Institutions Need Intelligent Information and Communication Technologies for Surveillance and Benchmarking

2020 ◽  
pp. 37-48
Author(s):  
Walter Koller ◽  
Andrea Rappelsberger ◽  
Birgit Willinger ◽  
Gabriel Kleinoscheg ◽  
Klaus-Peter Adlassnig
Keyword(s):  
Artificial Intelligence ◽  
Infection Control ◽  
Information And Communication Technologies ◽  
Communication Technologies ◽  
Information And Communication ◽  
Intelligent Information

Exploratory Insights on Artificial Intelligence for Government in Europe

2020 ◽  
pp. 089443932098044
Author(s):  
Colin van Noordt ◽  
Gianluca Misuraca
Keyword(s):  
Artificial Intelligence ◽  
Public Sector ◽  
Information And Communication Technologies ◽  
Communication Technologies ◽  
Quality Data ◽  
Comprehensive Overview ◽  
The Public ◽  
Governmental Organizations ◽  
Processing Power ◽  
Information And Communication

There is great interest to use artificial intelligence (AI) technologies to improve government processes and public services. However, the adoption of technologies has often been challenging for public administrations. In this article, the adoption of AI in governmental organizations has been researched as a form of information and communication technologies (ICT)–enabled governance innovation in the public sector. Based on findings from three cases of AI adoption in public sector organizations, this article shows strong similarities between the antecedents identified in previous academic literature and the factors contributing to the use of AI in government. The adoption of AI in government does not solely rely on having high-quality data but is facilitated by numerous environmental, organizational, and other factors that are strictly intertwined among each other. To address the specific nature of AI in government and the complexity of its adoption in the public sector, we thus propose a framework to provide a comprehensive overview of the key factors contributing to the successful adoption of AI systems, going beyond the narrow focus on data, processing power, and algorithm development often highlighted in the mainstream AI literature and policy discourse.

scholarly journals Propuesta de servicio de supervisión remoto en cultivos del sector vinícola

2020 ◽  
pp. 5-12
Author(s):  
Ricardo JARA-RUIZ ◽  
Ignacio Alejandro MONTES-GARCÍA ◽  
Néstor David FELICIANO-VELÁZQUEZ ◽  
Marcos Emmanuel QUEZADA-MUÑOZ
Keyword(s):  
Artificial Intelligence ◽  
Communication Network ◽  
Information And Communication Technologies ◽  
National Economy ◽  
Mobile Application ◽  
Vision System ◽  
Communication Technologies ◽  
Information And Communication ◽  
Wine Sector ◽  
Technological Impact

This research paper presents and structures a proposal for agro-industrial application using Unmanned Air Vehicles (UANs) or Drones in the wine sector, which proposes the use of information and communication technologies (ICTs) in synergy with advances in artificial intelligence. For development, the design and structuring of a remote service is considered that allows the user or owner to generate a request for wine monitoring through a communication network through a mobile application considering the use of a drone equipped with a vision system that allows to identify patterns and consequently detect characteristics in specific that have a high potential to pose an obvious risk; this with an approach that provides the user or producer with the information necessary for making effective decisions in the process of assisting the problems. All with the aim of developing tools that contribute and work for new contributions that generate a technological impact in the context of the sector considered important in the national economy.

scholarly journals ARTIFICIAL INTELLIGENCE AND ITS APPLICATION IN PHARMACEUTICAL MEDICINES

2019 ◽  
Vol 7 (9) ◽  
pp. 382-385
Author(s):  
Pramod Kumar
Keyword(s):  
Artificial Intelligence ◽  
Pharmaceutical Industry ◽  
Information And Communication Technologies ◽  
Communication Technologies ◽  
Pharmaceutical Companies ◽  
Social Media Data ◽  
Information And Communication ◽  
Pharmaceutical Industries ◽  
Insurance Data ◽  
Media Data

Big data in the life sciences and healthcare sectors is an increasing trend. It is the processing and displaying of huge volumes and varieties of data at a rapid speed. There is a vast amount of data in the healthcare and Pharmaceutical industries, including lab data, insurance data, patient records, research data, and even social media data (1, 2). Pharmaceutical companies have vast amounts of compounds that could be the perfect solution to combat specific diseases, but they have no way to identify them as such. The development and production of drugs can cost pharmaceutical companies up to $2.6 billion (£1.8bn) and take 12 to 14 years to complete (1). Artificial Intelligence (AI) plays a crucial role in enabling the industry to achieve these objectives, be it analytics in personalized medicine, cloud computing in collaboration, or wearable devices in remote and self-health monitoring. Thus, the main short/medium-term implication AI has for the pharmaceutical industry is the reduced time it takes to develop drugs and thus the associated costs, enhancing return on investment and could even mean a reduction in cost for end users. As the pharmaceutical industry becomes increasingly more connected, information and communication technologies will fundamentally reshape both the consumption and delivery of medications (1, 2,3).

scholarly journals ІДЕНТИФІКАЦІЙНІ ДАНІ: ПРАВОВІ МЕХАНІЗМИ РОЗРОБКИ КЛАСИФІКАТОРІВ

2021 ◽  
Author(s):  
О. В. Костенко ◽  
Keyword(s):  
Artificial Intelligence ◽  
Information And Communication Technologies ◽  
Driving Forces ◽  
Modern Society ◽  
Communication Technologies ◽  
Legal Rights ◽  
Technological Revolution ◽  
Modern Development ◽  
Information And Communication ◽  
Iot Devices

Modern society has entered into a full-scale implementation of the scientific and technological revolution 4.0 and economic globalization. One of the driving forces of the new scientific and technological revolution is the development of information and communication technologies and the introduction of technologies for the transmission and use of information. Today, the problem of legal support for the management of the confidentiality of data used to identify subjects and objects by their unique attributes is relevant. The degree of solving the problem of managing the processes of digital identification data is one of the main factors in the modern development of crossborder e-economy and trade. There is a situation when in Ukraine in all spheres of public life modern information and communication technologies are rapidly introduced in the actual absence of legal institutions for the management of identification and personal data, biometrics, IoT devices and artificial intelligence. A significant complication for the development and operation of identification data management systems is the lack of a single strategy in this area, socio-legal model of public relations, a single classifier of identification data and a single scheme of identification of subjects by identification data, mechanisms for legal rights and responsibilities. projects, legal procedures for biometric identification, methods of identification of IoT devices and artificial intelligence.

scholarly journals A inteligência artificial na educação: utilizações e possibilidades

2019 ◽  
Vol 5 (8) ◽  
pp. 206
Author(s):  
Antônio Claudio Jorge da SILVEIRA ◽  
Niltom VIEIRA JUNIOR
Keyword(s):  
Artificial Intelligence ◽  
Information And Communication Technologies ◽  
Large Scale ◽  
International Institutions ◽  
Communication Technologies ◽  
Social Consequences ◽  
Educational Systems ◽  
Artificial Intelligence In Education ◽  
Information And Communication ◽  
School Learning

Este trabalho discute o uso das Tecnologias da Informação e Comunicação (TIC), com o foco na Inteligência Artificial (IA) aplicada a sistemas educacionais. As tecnologias atuais já permitem o acesso e a otimização de plataformas disponíveis em todo o mundo e pretende-se, com essa investigação, avaliar os desafios para que essas possibilidades sejam ampliadas. Para complemento deste estudo, são apresentadas instituições internacionais pioneiras na utilização da Inteligência Artificial como plataforma de aprendizagem em larga escala. Trata-se de uma pesquisa qualitativa, com o propósito de auxiliar os gestores educacionais na busca de políticas voltadas para a melhoria do ensino e suas possíveis consequências sociais. Inteligência Artificial. Educação à Distância. Escola Pública. Metodologia de Aprendizagem.  The Artificial Intelligence in Education: uses and possibilities ABSTRACT  This work discusses the use of Information and Communication Technologies (ICT), with a focus on Artificial Intelligence (AI) applied to educational systems. Today's technologies already allow access to and optimization of platforms available around the world, and this research intends to assess the challenges for these possibilities to be expanded. To complement this study, we present pioneering international institutions in the use of Artificial Intelligence as a platform for large-scale learning. It is a qualitative research, with the purpose of assisting educational managers in the pursuit of policies aimed at improving education and its possible social consequences. Artificial Intelligence. Distance Education. Public school. Learning Methodology. 

Development of Artificial Intelligence and Prospects for Its Application

2021 ◽  
Vol 27 (2) ◽  
pp. 132-138
Author(s):  
V. Ya. Dmitriev ◽  
T. A. Ignat'eva ◽  
V. P. Pilyavskiy
Keyword(s):  
Artificial Intelligence ◽  
Speech Recognition ◽  
Information And Communication Technologies ◽  
Language Model ◽  
Communication Technologies ◽  
Conceptual Apparatus ◽  
Information And Communication ◽  
End To End ◽  
Definition Of ◽  
The Impact

Aim. To analyze the concept of “artificial intelligence”, to justify the effectiveness of using artificial intelligence technologies.Tasks. To study the conceptual apparatus; to propose and justify the author’s definition of the “artificial intelligence” concept; to describe the technology of speech recognition using artificial intelligence.Methodology. The authors used such general scientific methods of cognition as comparison, deduction and induction, analysis, generalization and systematization.Results. Based on a comparative analysis of the existing conceptual apparatus, it is concluded that there is no single concept of “artificial intelligence”. Each author puts his own vision into it. In this regard, the author’s definition of the “artificial intelligence” concept is formulated. It is determined that an important area of applying artificial intelligence technologies in various fields of activity is speech recognition technology. It is shown that the first commercially successful speech recognition prototypes appeared already by the 1990s, and since the beginning of the 21st century. The great interest in “end-to-end” automatic speech recognition has become obvious. While traditional phonetic approaches have requested pronunciation, acoustic, and language model data, end-to-end models simultaneously consider all components of speech recognition, thereby facilitating the stages of self-learning and development. It is established that a significant increase in the” mental “ capabilities of computer technology and the development of new algorithms have led to new achievements in this direction. These advances are driven by the growing demand for speech recognition.Conclusions. According to the authors, artificial intelligence is a complex of computer programs that duplicate the functions of the human brain, opening up the possibility of informal learning based on big data processing, allowing to solve the problems of pattern recognition (text, image, speech) and the formation of management decisions. Currently, the active development of information and communication technologies and artificial intelligence concepts has led to a wide practical application of intelligent technologies, especially in control systems. The impact of these systems can be found in the work of mobile phones and expert systems, in forecasting and other areas. Among the obstacles to the development of this technology is the lack of accuracy in speech and voice recognition systems in the conditions of sound interference, which is always present in the external environment. However, the recent advances overcome this disadvantage.

scholarly journals TEACHER TRAINING AND EDUCATION PROGRAMS IN LATVIA: ARE E-COMPETENCES INCLUDED?

2020 ◽  
Vol 18 (2) ◽  
pp. 294-306
Author(s):  
Kristine Uzule
Keyword(s):  
Artificial Intelligence ◽  
Teacher Training ◽  
Information And Communication Technologies ◽  
Communication Technologies ◽  
Education Programs ◽  
Self Assessment ◽  
Training And Education ◽  
A Value ◽  
Information And Communication ◽  
E Learning

Purpose – the purpose of this research is to review the contents of Latvian teacher training and education programs in order to identify if the development of students’ e-competences is included into these programs as an important objective and value. The importance of the development of these competences has been stressed in various EU documents and scientific literature. The scientific importance of the paper lies in gathering evidence for the inclusion of e-competences into teacher training and education curricula and demonstrating that e-competences have not yet acquired a value status in teacher training and education programs. Research methodology – the methodology included the keyword in context and concordance analysis of self-assessment reports and program descriptions, which were run in the software AntConc. Findings – out of 190,000 word tokens, the KWIC analysis identified only 75 entries related to e-competences, most of which included basic skills of information and communication technologies. Other more advanced concepts, such as virtual reality, artificial intelligence, adaptive spaces, e-competences, e-education and e-learning, were hardly mentioned. Research limitations – one limitation of this research is the focus on Latvian teacher training and education programs without their comparison to similar European programs, which would allow for determining the competitiveness of such Latvian programs in Europe. Practical implications – the obtained results suggest that the development of e-competences has not been perceived as value in teacher training and education programs in Latvia, and in order to bridge this gap, programming and artificial intelligence courses should be introduced into the curricula of such programs. Originality/Value – the research has demonstrated that the EU aim of boosting the competitiveness of the European education through the development of e-competences is yet to be implemented into teacher training and education programs in Latvia.

scholarly journals Building trust when using artificial intelligence

E-Management ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 28-36
Author(s):  
A. A. Dashkov ◽  
Yu. O. Nesterova
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Information And Communication Technologies ◽  
Communication Technologies ◽  
Learning Systems ◽  
Building Trust ◽  
Information And Communication ◽  
Continuous Progress ◽  
The Impact ◽  
Further Development

In the XXI century, “trust” becomes a category that manifests itself in a variety of ways and affects many areas of human activity, including the economy and business. With the development of information and communication technologies and end-to-end technologies, this influence is becoming more and more noticeable. A special place in digital technologies is occupied by human trust when interacting with artificial intelligence and machine learning systems. In this case, trust becomes a potential stumbling block in the field of further development of interaction between artificial intelligence and humans. Trust plays a key role in ensuring recognition in society, continuous progress and development of artificial intelligence.The article considers human trust in artificial intelligence and machine learning systems from different sides. The main objectives of the research paper are to structure existing research on this subject and identify the most important ways to create trust among potential consumers of artificial intelligence products. The article investigates the attitude to artificial intelligence in different countries, as well as the need for trust among users of artificial intelligence systems and analyses the impact of distrust on business. The authors identified the factors that are crucial in the formation of the initial level of trust and the development of continuous trust in artificial intelligence.

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