scholarly journals Approaches Based on Artificial Intelligence and the Internet of Intelligent Things to Prevent the Spread of COVID-19: Scoping Review

10.2196/19104 ◽  
2020 ◽  
Vol 22 (8) ◽  
pp. e19104 ◽  
Author(s):  
Aya Sedky Adly ◽  
Afnan Sedky Adly ◽  
Mahmoud Sedky Adly
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Resource Allocation ◽  
Modeling And Simulation ◽  
Large Scale ◽  
Information Gathering ◽  
The Internet ◽  
Experimental Therapies ◽  
Computer Scientists ◽  
And Control

Background Artificial intelligence (AI) and the Internet of Intelligent Things (IIoT) are promising technologies to prevent the concerningly rapid spread of coronavirus disease (COVID-19) and to maximize safety during the pandemic. With the exponential increase in the number of COVID-19 patients, it is highly possible that physicians and health care workers will not be able to treat all cases. Thus, computer scientists can contribute to the fight against COVID-19 by introducing more intelligent solutions to achieve rapid control of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes the disease. Objective The objectives of this review were to analyze the current literature, discuss the applicability of reported ideas for using AI to prevent and control COVID-19, and build a comprehensive view of how current systems may be useful in particular areas. This may be of great help to many health care administrators, computer scientists, and policy makers worldwide. Methods We conducted an electronic search of articles in the MEDLINE, Google Scholar, Embase, and Web of Knowledge databases to formulate a comprehensive review that summarizes different categories of the most recently reported AI-based approaches to prevent and control the spread of COVID-19. Results Our search identified the 10 most recent AI approaches that were suggested to provide the best solutions for maximizing safety and preventing the spread of COVID-19. These approaches included detection of suspected cases, large-scale screening, monitoring, interactions with experimental therapies, pneumonia screening, use of the IIoT for data and information gathering and integration, resource allocation, predictions, modeling and simulation, and robotics for medical quarantine. Conclusions We found few or almost no studies regarding the use of AI to examine COVID-19 interactions with experimental therapies, the use of AI for resource allocation to COVID-19 patients, or the use of AI and the IIoT for COVID-19 data and information gathering/integration. Moreover, the adoption of other approaches, including use of AI for COVID-19 prediction, use of AI for COVID-19 modeling and simulation, and use of AI robotics for medical quarantine, should be further emphasized by researchers because these important approaches lack sufficient numbers of studies. Therefore, we recommend that computer scientists focus on these approaches, which are still not being adequately addressed.

scholarly journals Approaches Based on Artificial Intelligence and the Internet of Intelligent Things to Prevent the Spread of COVID-19: Scoping Review (Preprint)

2020 ◽  
Author(s):  
Aya Sedky Adly ◽  
Afnan Sedky Adly ◽  
Mahmoud Sedky Adly
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Resource Allocation ◽  
Modeling And Simulation ◽  
Large Scale ◽  
Information Gathering ◽  
The Internet ◽  
Experimental Therapies ◽  
Computer Scientists ◽  
And Control

BACKGROUND Artificial intelligence (AI) and the Internet of Intelligent Things (IIoT) are promising technologies to prevent the concerningly rapid spread of coronavirus disease (COVID-19) and to maximize safety during the pandemic. With the exponential increase in the number of COVID-19 patients, it is highly possible that physicians and health care workers will not be able to treat all cases. Thus, computer scientists can contribute to the fight against COVID-19 by introducing more intelligent solutions to achieve rapid control of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes the disease. OBJECTIVE The objectives of this review were to analyze the current literature, discuss the applicability of reported ideas for using AI to prevent and control COVID-19, and build a comprehensive view of how current systems may be useful in particular areas. This may be of great help to many health care administrators, computer scientists, and policy makers worldwide. METHODS We conducted an electronic search of articles in the MEDLINE, Google Scholar, Embase, and Web of Knowledge databases to formulate a comprehensive review that summarizes different categories of the most recently reported AI-based approaches to prevent and control the spread of COVID-19. RESULTS Our search identified the 10 most recent AI approaches that were suggested to provide the best solutions for maximizing safety and preventing the spread of COVID-19. These approaches included detection of suspected cases, large-scale screening, monitoring, interactions with experimental therapies, pneumonia screening, use of the IIoT for data and information gathering and integration, resource allocation, predictions, modeling and simulation, and robotics for medical quarantine. CONCLUSIONS We found few or almost no studies regarding the use of AI to examine COVID-19 interactions with experimental therapies, the use of AI for resource allocation to COVID-19 patients, or the use of AI and the IIoT for COVID-19 data and information gathering/integration. Moreover, the adoption of other approaches, including use of AI for COVID-19 prediction, use of AI for COVID-19 modeling and simulation, and use of AI robotics for medical quarantine, should be further emphasized by researchers because these important approaches lack sufficient numbers of studies. Therefore, we recommend that computer scientists focus on these approaches, which are still not being adequately addressed.

A Liar’s Epistemology

Qui Parle ◽  
2021 ◽  
Vol 30 (1) ◽  
pp. 119-157
Author(s):  
Brett Zehner
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Systems ◽  
Large Scale ◽  
Computational Models ◽  
Nervous Activity ◽  
Bad Faith ◽  
Computer Scientists ◽  
Human Decision ◽  
Media Philosophy ◽  
Historical Accounts

Abstract This methodologically important essay aims to trace a genealogical account of Herbert Simon’s media philosophy and to contest the histories of artificial intelligence that overlook the organizational capacities of computational models. As Simon’s work demonstrates, humans’ subjection to large-scale organizations and divisions of labor is at the heart of artificial intelligence. As such, questions of procedures are key to understanding the power assumed by institutions wielding artificial intelligence. Most media-historical accounts of the development of contemporary artificial intelligence stem from the work of Warren S. McCulloch and Walter Pitts, especially the 1943 essay “A Logical Calculus of the Ideas Immanent in Nervous Activity.” Yet Simon’s revenge is perhaps that reinforcement learning systems adopt his prescriptive approach to algorithmic procedures. Computer scientists criticized Simon for the performative nature of his artificially intelligent systems, mainly for his positivism, but he defended his positivism based on his belief that symbolic computation could stand in for any reality and in fact shape that reality. Simon was not looking to actually re-create human intelligence; he was using coercion, bad faith, and fraud as tactical weapons in the reordering of human decision-making. Artificial intelligence was the perfect medium for his explorations.

scholarly journals Large Scale Resource Allocation for the Internet of Things Network Based on ADMM

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 57192-57203 ◽  
Author(s):  
Yanhua He ◽  
Sunxuan Zhang ◽  
Liangrui Tang ◽  
Yun Ren
Keyword(s):  
Resource Allocation ◽  
Internet Of Things ◽  
Large Scale ◽  
The Internet ◽  
The Internet Of Things

scholarly journals Management of Software-Defined Networking Powered by Artificial Intelligence

2021 ◽  
Author(s):  
Jehad Ali ◽  
Byeong-hee Roh
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Internet Of Things ◽  
Heterogeneous Networks ◽  
Software Defined Networking ◽  
Machine Learning Algorithms ◽  
The Internet ◽  
Underlying Network ◽  
And Control ◽  
The Internet Of Things

Separating data and control planes by Software-Defined Networking (SDN) not only handles networks centrally and smartly. However, through implementing innovative protocols by centralized controllers, it also contributes flexibility to computer networks. The Internet-of-Things (IoT) and the implementation of 5G have increased the number of heterogeneous connected devices, creating a huge amount of data. Hence, the incorporation of Artificial Intelligence (AI) and Machine Learning is significant. Thanks to SDN controllers, which are programmable and versatile enough to incorporate machine learning algorithms to handle the underlying networks while keeping the network abstracted from controller applications. In this chapter, a software-defined networking management system powered by AI (SDNMS-PAI) is proposed for end-to-end (E2E) heterogeneous networks. By applying artificial intelligence to the controller, we will demonstrate this regarding E2E resource management. SDNMS-PAI provides an architecture with a global view of the underlying network and manages the E2E heterogeneous networks with AI learning.

scholarly journals end of all taxation and censorship using blockchain technology

2021 ◽  
Vol 9 (08) ◽  
pp. 604-610
Author(s):  
Tanmay Munjal
Keyword(s):  
Large Scale ◽  
Free Flow ◽  
The Internet ◽  
Blockchain Technology ◽  
Surveillance Technology ◽  
The Face ◽  
History Of ◽  
Free Flow Of Information ◽  
And Control ◽  
Flow Of Information

Large scale censorship and control over the free flow of information on the internet that was already implemented on a large scale in many authoritarian countries in China in the past few decades has started to work its way through the more liberal and western countries including India, US etc. especially in the last decade raising concerns over privacy issues and the possibility of a dystopian future of tyrannical governments empowered by the use of digital surveillance technology to increase their power and make them essentially undefeatable on a level unforeseen in the history of humanity among many great thinkers in our era. In this paper, we wish to outline a method to not only combat but to completely eliminate both the possibility and current usage of all censorship and control over flow of information on the internet, hence heralding an era of free flow of information throughout the world and destroying practically all mind control that tyrannical governments can hold over their people, in essence ending the era of propaganda and tyranny from the face of this earth forever, using blockchain technology.

scholarly journals The Role of Health Technology and Informatics in a Global Public Health Emergency: Practices and Implications From the COVID-19 Pandemic

10.2196/19866 ◽  
2020 ◽  
Vol 8 (7) ◽  
pp. e19866 ◽  
Author(s):  
Jiancheng Ye
Keyword(s):  
Health Care ◽  
Large Scale ◽  
Health Care Systems ◽  
Strong Support ◽  
Global Public Health ◽  
Infected People ◽  
Health Technologies ◽  
Care Systems ◽  
Delivery Services ◽  
And Control

At present, the coronavirus disease (COVID-19) is spreading around the world. It is a critical and important task to take thorough efforts to prevent and control the pandemic. Compared with severe acute respiratory syndrome and Middle East Respiratory Syndrome, COVID-19 spreads more rapidly owing to increased globalization, a longer incubation period, and unobvious symptoms. As the coronavirus has the characteristics of strong transmission and weak lethality, and since the large-scale increase of infected people may overwhelm health care systems, efforts are needed to treat critical patients, track and manage the health status of residents, and isolate suspected patients. The application of emerging health technologies and digital practices in health care, such as artificial intelligence, telemedicine or telehealth, mobile health, big data, 5G, and the Internet of Things, have become powerful “weapons” to fight against the pandemic and provide strong support in pandemic prevention and control. Applications and evaluations of all of these technologies, practices, and health delivery services are highlighted in this study.

scholarly journals Educational Stakeholders’ Independent Evaluation of an Artificial Intelligence-Enabled Adaptive Learning System Using Bayesian Network Predictive Simulations

2019 ◽  
Vol 9 (2) ◽  
pp. 110 ◽  
Author(s):  
Meng-Leong HOW ◽  
Wei Loong David HUNG
Keyword(s):  
Artificial Intelligence ◽  
Adaptive Learning ◽  
Large Scale ◽  
Small Sample Size ◽  
Small Sample ◽  
Learning System ◽  
Learning Needs ◽  
Educational Stakeholders ◽  
Independent Evaluation ◽  
Computer Scientists

Artificial intelligence-enabled adaptive learning systems (AI-ALS) are increasingly being deployed in education to enhance the learning needs of students. However, educational stakeholders are required by policy-makers to conduct an independent evaluation of the AI-ALS using a small sample size in a pilot study, before that AI-ALS can be approved for large-scale deployment. Beyond simply believing in the information provided by the AI-ALS supplier, there arises a need for educational stakeholders to independently understand the motif of the pedagogical characteristics that underlie the AI-ALS. Laudable efforts were made by researchers to engender frameworks for the evaluation of AI-ALS. Nevertheless, those highly technical techniques often require advanced mathematical knowledge or computer programming skills. There remains a dearth in the extant literature for a more intuitive way for educational stakeholders—rather than computer scientists—to carry out the independent evaluation of an AI-ALS to understand how it could provide opportunities to educe the problem-solving abilities of the students so that they can successfully learn the subject matter. This paper proffers an approach for educational stakeholders to employ Bayesian networks to simulate predictive hypothetical scenarios with controllable parameters to better inform them about the suitability of the AI-ALS for the students.

scholarly journals The Role of Health Technology and Informatics in a Global Public Health Emergency: Practices and Implications From the COVID-19 Pandemic (Preprint)

2020 ◽  
Author(s):  
Jiancheng Ye
Keyword(s):  
Health Care ◽  
Large Scale ◽  
Health Care Systems ◽  
Strong Support ◽  
Global Public Health ◽  
Infected People ◽  
Health Technologies ◽  
Care Systems ◽  
Delivery Services ◽  
And Control

UNSTRUCTURED At present, the coronavirus disease (COVID-19) is spreading around the world. It is a critical and important task to take thorough efforts to prevent and control the pandemic. Compared with severe acute respiratory syndrome and Middle East Respiratory Syndrome, COVID-19 spreads more rapidly owing to increased globalization, a longer incubation period, and unobvious symptoms. As the coronavirus has the characteristics of strong transmission and weak lethality, and since the large-scale increase of infected people may overwhelm health care systems, efforts are needed to treat critical patients, track and manage the health status of residents, and isolate suspected patients. The application of emerging health technologies and digital practices in health care, such as artificial intelligence, telemedicine or telehealth, mobile health, big data, 5G, and the Internet of Things, have become powerful “weapons” to fight against the pandemic and provide strong support in pandemic prevention and control. Applications and evaluations of all of these technologies, practices, and health delivery services are highlighted in this study.

scholarly journals Research on Mobile Communication Technology in the Internet+ Era

2021 ◽  
Vol 3 (1) ◽  
pp. 9
Author(s):  
Shuxu Cao
Keyword(s):  
Artificial Intelligence ◽  
Communication Technology ◽  
Mobile Communication ◽  
Mobile Communications ◽  
Science And Technology ◽  
The Internet ◽  
Contact Method ◽  
Mobile Communication Technology ◽  
And Control ◽  
Intelligence Science

<p>With the continuous development of science and technology, although artificial intelligence has become the norm, if artificial intelligence science and technology are applied to mobile communications, it will be a huge technological leap. Some companies use artificial intelligence to analyze their faults and early warnings, so that they can effectively communicate between communications. This kind of contact method mainly relies on the analysis of personnel, and finds out the cause of the fault through network positioning, so as to realize the connection between the networks and the early warning of the communication network. By building system equipment to realize remote operation and control support communication, communication can be effectively realized.</p>

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