Conceptual Model of a Virtual Laboratory for Data Analysis and Artificial Intelligence Methods

Author(s):  
M. Bocharov ◽  
N. Voznesenskaya

Artificial intelligence technologies are increasingly penetrating the processes of the socio-economic sphere, having a significant impact on the organization of information, social, technological processes based on the analysis of available information. This article reviews the availability of training at various levels of education, content and teaching methods in the field of artificial intelligence. The approaches to organizing practical activities in the process of mastering artificial intelligence technologies based on the model of a virtual laboratory for data analysis and artificial intelligence methods have been determined. The developed model of the virtual laboratory provides for the ability to track the current state of the level of training in the field of data analysis and the use of artificial intelligence methods in practice.

2021 ◽  
Vol 10 (9) ◽  
pp. 1961
Author(s):  
Md. Mohaimenul Islam ◽  
Tahmina Nasrin Poly ◽  
Belal Alsinglawi ◽  
Ming Chin Lin ◽  
Min-Huei Hsu ◽  
...  

Artificial intelligence (AI) has shown immense potential to fight COVID-19 in many ways. This paper focuses primarily on AI’s role in managing COVID-19 using digital images, clinical and laboratory data analysis, and a summary of the most recent articles published last year. We surveyed the use of AI for COVID-19 detection, screening, diagnosis, the progression of severity, mortality, drug repurposing, and other tasks. We started with the technical overview of all models used to fight the COVID-19 pandemic and ended with a brief statement of the current state-of-the-art, limitations, and challenges.


Author(s):  
Nagla Rizk

This chapter looks at the challenges, opportunities, and tensions facing the equitable development of artificial intelligence (AI) in the MENA region in the aftermath of the Arab Spring. While diverse in their natural and human resource endowments, countries of the region share a commonality in the predominance of a youthful population amid complex political and economic contexts. Rampant unemployment—especially among a growing young population—together with informality, gender, and digital inequalities, will likely shape the impact of AI technologies, especially in the region’s labor-abundant resource-poor countries. The chapter then analyzes issues related to data, legislative environment, infrastructure, and human resources as key inputs to AI technologies which in their current state may exacerbate existing inequalities. Ultimately, the promise for AI technologies for inclusion and helping mitigate inequalities lies in harnessing grounds-up youth entrepreneurship and innovation initiatives driven by data and AI, with a few hopeful signs coming from national policies.


2021 ◽  
Vol 193 (7) ◽  
Author(s):  
Yong Jie Wong ◽  
Yoshihisa Shimizu ◽  
Akinori Kamiya ◽  
Luksanaree Maneechot ◽  
Khagendra Pralhad Bharambe ◽  
...  

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