Difference between revisions of "Template:Article of the week"

From LIMSWiki
Jump to navigationJump to search
(Updated article of the week text)
(Updated article of the week text.)
Line 1: Line 1:
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Tab1 Li RivItal21 3-1.png|240px]]</div>
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Industry 4.0.png|240px]]</div>
'''"[[Journal:Cross-border data transfer regulation in China|Cross-border data transfer regulation in China]]"'''
'''"[[Journal:Cybersecurity impacts for artificial intelligence use within Industry 4.0|Cybersecurity impacts for artificial intelligence use within Industry 4.0]]"'''


With the growing participation of emerging countries in global data governance, the traditional legislative paradigm dominated by the European Union and the United States is constantly being analyzed and reshaped. It is of particular importance for China to establish the regulatory framework of cross-border data transfer, for not only does it involve the rights of Chinese citizens and entities, but also the concepts of cyber-sovereignty and national security, as well as the framing of global cyberspace rules. China continues to leverage data sovereignty to persuade lawmakers to support the development of critical technology in digital domains and infrastructure construction. This paper aims to systematically and chronologically describe Chinese regulations for cross-border data exchange. Enacted and draft provisions—as well as binding and non-binding regulatory rules—are studied, and various positive dynamic developments in the framing of China’s cross-border data regulation are shown ... ('''[[Journal:Cross-border data transfer regulation in China|Full article...]]''')<br />
In today’s modern digital manufacturing landscape, new and emerging technologies can shape how an organization can compete, while others will view those technologies as a necessity to survive, as manufacturing has been identified as a critical infrastructure. Universities struggle to hire university professors that are adequately trained or willing to enter academia due to competitive salary offers in the industry. Meanwhile, the demand for people knowledgeable in fields such as [[artificial intelligence]], [[Informatics (academic field)|data science]], and [[cybersecurity]] continuously rises, with no foreseeable drop in demand in the next several years. This results in organizations deploying technologies with a staff that inadequately understands what new cybersecurity risks they are introducing into the company. This work examines how organizations can potentially mitigate some of the risk associated with integrating these new technologies and developing their workforce to be better prepared for looming changes in technological skill need. ('''[[Journal:Cybersecurity impacts for artificial intelligence use within Industry 4.0|Full article...]]''')<br />
<br />
<br />
''Recently featured'':
''Recently featured'':
{{flowlist |
{{flowlist |
* [[Journal:Cross-border data transfer regulation in China|Cross-border data transfer regulation in China]]
* [[Journal:Data and information systems management for urban water infrastructure condition assessment|Data and information systems management for urban water infrastructure condition assessment]]
* [[Journal:Data and information systems management for urban water infrastructure condition assessment|Data and information systems management for urban water infrastructure condition assessment]]
* [[Journal:Diagnostic informatics: The role of digital health in diagnostic stewardship and the achievement of excellence, safety, and value|Diagnostic informatics: The role of digital health in diagnostic stewardship and the achievement of excellence, safety, and value]]
* [[Journal:Diagnostic informatics: The role of digital health in diagnostic stewardship and the achievement of excellence, safety, and value|Diagnostic informatics: The role of digital health in diagnostic stewardship and the achievement of excellence, safety, and value]]
* [[Journal:Development and implementation of an LIS-based validation system for autoverification toward zero defects in the automated reporting of laboratory test results|Development and implementation of an LIS-based validation system for autoverification toward zero defects in the automated reporting of laboratory test results]]
}}
}}

Revision as of 16:38, 25 April 2022

Industry 4.0.png

"Cybersecurity impacts for artificial intelligence use within Industry 4.0"

In today’s modern digital manufacturing landscape, new and emerging technologies can shape how an organization can compete, while others will view those technologies as a necessity to survive, as manufacturing has been identified as a critical infrastructure. Universities struggle to hire university professors that are adequately trained or willing to enter academia due to competitive salary offers in the industry. Meanwhile, the demand for people knowledgeable in fields such as artificial intelligence, data science, and cybersecurity continuously rises, with no foreseeable drop in demand in the next several years. This results in organizations deploying technologies with a staff that inadequately understands what new cybersecurity risks they are introducing into the company. This work examines how organizations can potentially mitigate some of the risk associated with integrating these new technologies and developing their workforce to be better prepared for looming changes in technological skill need. (Full article...)

Recently featured:

Retrieved from "https://www.limswiki.org/index.php?title=Template:Article_of_the_week&oldid=47489"