scholarly journals METHODS OF DECODING DATA USING BIOLOGICAL RESEARCH AND ARTIFICIAL INTELLIGENCE IN CULTURE PRACTICE

Author(s):  
Tetiana Sovhyra

The article is a comprehensive analysis of projects aimed at studying AI technologies and culture interaction. The author examines the specifics and uniqueness of art works created through AI-technologies using examples of projects from “ThoughtWorks Arts Global Research”, “Innovation Laboratory of New Technologies”, “Isolation Foundation” and “IZONE Creative Association”. The article analyzes the principle of selection of materials, algorithmic analysis of data, the interdependence of digital data received from the user's brain impulses with audiovisual content, the possibility of instant data processing in the process of creating an artistic product. The author explores the principles of tracking brain function and decoding human genetic data, which are used to create art projects. The article assesses the potential that AI possesses and explains the conditions necessary for the implementation of AI-technology in culture. As a result of the study, the author revealed that through algorithmic analysis it is possible to transform digital data into a system of expressive signs of visual and sound arts, to broadcast the received audiovisual content. The author finds out that through these technologies it is possible to create interactive art forms (interactive film, installations, immersive presentations, etc.).

The article is a comprehensive analysis of projects aimed at studying AI technologies and culture interaction. The author examines the specifics and uniqueness of art works created through AI-technologies using examples of projects from “Thought Works Arts Global Research”, “Innovation Laboratory of New Technologies”, “Isolation Foundation” and “IZONE Creative Association”. The article analyzes the principle of selection of materials, algorithmic analysis of data, the interdependence of digital data received from the user's brain impulses with audiovisual content, the possibility of instant data processing in the process of creating an artistic product. The author explores the principles of tracking brain function and decoding human genetic data, which are used to create art projects. The article assesses the potential that AI possesses and explains the conditions necessary for the implementation of AI-technology in culture. As a result of the study, the author revealed that through algorithmic analysis it is possible to transform digital data into a system of expressive signs of visual and sound arts, to broadcast the received audiovisual content. The author finds out that through these technologies it is possible to create interactive art forms (interactive film, installations, immersive presentations, etc.)


2010 ◽  
Vol 6 (1) ◽  
pp. 15
Author(s):  
James P Earls ◽  
Jonathon A Leipsic ◽  
◽  

Recent reports have raised general awareness that cardiac computed tomography (CT) has the potential for relatively high effective radiation doses. While the actual amount of risk this poses to the patient is controversial, the increasing concern has led to a great deal of research on new CT techniques capable of imaging the heart at substantially lower radiation doses than was available only a few years ago. Methods of dose reduction include optimised selection of user-defined parameters, such as tube current and voltage, as well as use of new technologies, such as prospective triggering and iterative reconstruction. These techniques have each been shown to lead to substantial reduction in radiation dose without loss of diagnostic accuracy. This article will review the most frequently used and widely available methods for radiation dose reduction in cardiac CT and give practical advice on their use and limitations.


2015 ◽  
Vol 10 (1) ◽  
pp. 5-25 ◽  
Author(s):  
Jack L. Winstead ◽  
Mitchell R. Wenger

ABSTRACT This study investigates whether AIS instructors' selection of topics adequately prepares graduates for the expectations of employers seeking candidates who can adapt to the pace of technological change. As businesses adopt new technologies, stakeholders of the accounting profession must periodically reassess educational needs in the area of accounting information systems (AIS). Because AIS is a field that encompasses a wide variety of conceptual and skill-based topics, the selection of course topics can result in a “gap” between what academics and CPA firms expect from new accountants. Given the variety of topic areas, do academics and CPAs agree on which ones to emphasize, or what levels of proficiency are appropriate for each topic? In this study, academics and accountants, primarily in public practice, completed identical surveys regarding desired levels of proficiencies. The results suggest agreement on desired levels of proficiency regarding computer operation and use of accounting software to complete basic tasks and create reports, while suggesting differences of opinion in six other areas (understanding business cycles in an electronic environment, understanding data-sharing technologies, using XBRL, comprehending business needs and how technology could solve problems, understanding e-commerce, and the basics of safeguarding electronic accounting records). Participants concluded by offering observations about the strengths and weaknesses of newly employed accountants.


Author(s):  
Aleksandr Mitin

The article discusses the possibilities of automation of legal activities. Special attention is paid to the new branch of the business LegalTech, which allows providing legal services using information technology. Some projects in this area are briefly described: FreshDoc document designer, VideoContract app, and electronic trading platforms such as Legal Space and Pravoved.Ru. Although the legal community is not quite ready to work in such conditions, higher education institutions are already reforming their curricula, developing disciplines that allow gaining professional competence in introducing technologies that automate legal work, and so on. The author, in turn, offers using chat bots in legal clinics, gives examples of new disciplines for master’s degree programs, considers the idea of passing final examinations outside universities in certification centers, etc. It is emphasized that in jurisprudence there are a lot of typical situations in which typical decisions need to be made, and here artificial intelligence will be a good helper, and scientists will have more time to undertake a comprehensive analysis of law. Thus, even with the advent of new technologies, the creative work of lawyers will always be in demand.


2017 ◽  
Vol 107 (03) ◽  
pp. 124-128
Author(s):  
L. Merkel ◽  
J, Starz ◽  
C. Schultz ◽  
S. Braunreuther ◽  
G. Prof. Reinhart

Digitale Assistenzsysteme in der Produktion helfen, zunehmend komplex werdende Arbeitsaufgaben zu beherrschen. Dafür entstehen im Zuge der Digitalisierung der Produktion forschungsseitig zahlreiche neue Möglichkeiten individueller Werkerunterstützung. Das hier vorgestellte entwickelte Modell gestattet eine detaillierte Beschreibung der Fähigkeiten und Technologien von Komponenten eines Assistenzsystems. Durch einen Abgleich von spezifischen Anforderungen eines Anwendungsfalls mit den Fähigkeiten des Assistenzsystems soll die Auswahl eines geeigneten Assistenzsystems ermöglicht werden.   Digital assistance systems help to master tasks with growing complexity in production. Currently, a lot of research aims at developing new technologies for individual worker support. This paper presents a model for a detailed description of capabilities and technologies used for components in assistance systems. By matching a given task’s requirements with the capabilities of an assistance system, the selection of the best fitting assistance system can be achieved.


2021 ◽  

The use of big data is becoming increasingly important across the tourism sector and the value chain. With this publication, UNWTO intends to provide a baseline research on using big data by tourism and culture stakeholders, in order to improve the competitiveness of cultural tourism and reinforce its sustainability. The study sets the basis to connect tourism, culture and new technologies for mutual benefits, while calling for a reflection on the ethical implications for policymakers, businesses and end-users. The selection of case studies illustrates the most frequent case-scenarios of the use of big data in cultural tourism within destinations, compiled during the research. As the new technologies are facing ever-evolving scenarios, their use will be harnessed by the tourism sector in its endeavour to innovate and provide new cultural experiences.


Author(s):  
Bing Yi ◽  
Renkai Sun ◽  
Long Liu ◽  
Yongfeng Song ◽  
Yinggui Zhang

Abstract It is a challenge for the dynamic inspection of railway route for freight car transporting cargo that out-of-gauge. One possible way is using the inspection frame installed in the inspection train to simulate the whole procedure for cargo transportation, which costs a lot of manpower and material resources as well as time. To overcome the above problem, this paper proposes an augmented reality (AR) based dynamic inspection method for visualized railway routing of freight car with out-of-gauge. First, the envelope model of the dynamic moving train with out-of-gauge cargo is generated by using the orbital spectrum of the railway, and the envelope model is matched with a piece of homemade calibration equipment located on the position of the railway that needs to be inspected. Then, the structure from motion (SFM) algorithm is used to reconstruct the environment where the virtual envelope model occludes the buildings or equipment along the railway. Finally, the distance function is adopted to calculate the distance between the obstacle and the envelope of the freight car with out-of-gauge, determining whether the freight car can pass a certain line. The experimental results show that the proposed method performs well for the route selection of out-of-gauge cargo transportation with low cost, high precision, and high efficiency. Moreover, the digital data of the environments along the railway and the envelope of the freight car can be reused, which will increase the digitalization and intelligence for route selection of out-of-gauge cargo transportation.


2018 ◽  
Vol 32 (1) ◽  
Author(s):  
Bharat S. Parekh ◽  
Chin-Yih Ou ◽  
Peter N. Fonjungo ◽  
Mireille B. Kalou ◽  
Erin Rottinghaus ◽  
...  

SUMMARYHIV diagnostics have played a central role in the remarkable progress in identifying, staging, initiating, and monitoring infected individuals on life-saving antiretroviral therapy. They are also useful in surveillance and outbreak responses, allowing for assessment of disease burden and identification of vulnerable populations and transmission “hot spots,” thus enabling planning, appropriate interventions, and allocation of appropriate funding. HIV diagnostics are critical in achieving epidemic control and require a hybrid of conventional laboratory-based diagnostic tests and new technologies, including point-of-care (POC) testing, to expand coverage, increase access, and positively impact patient management. In this review, we provide (i) a historical perspective on the evolution of HIV diagnostics (serologic and molecular) and their interplay with WHO normative guidelines, (ii) a description of the role of conventional and POC testing within the tiered laboratory diagnostic network, (iii) information on the evaluations and selection of appropriate diagnostics, (iv) a description of the quality management systems needed to ensure reliability of testing, and (v) strategies to increase access while reducing the time to return results to patients. Maintaining the central role of HIV diagnostics in programs requires periodic monitoring and optimization with quality assurance in order to inform adjustments or alignment to achieve epidemic control.


1907 ◽  
Vol XIV (3-4) ◽  
pp. 205-206

The report is a careful selection of digital data that illuminate in detail and visually the aspects of hospital life for the reporting year, especially since these data are organized into interesting general conclusions.


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