Difference between revisions of "Digital Twin"
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==Problems== | ==Problems== | ||
− | * In one view, the [[Digital Twin]] is created to contain all possible [[Attribute]]s and [[ | + | * In one view, the [[Digital Twin]] is created to contain all possible [[Attribute]]s and [[Behavior]]s of a real human being. This rather dystopian view creates a existential threat to the real human's privacy.<ref>Robert Mitwiki ''Self Actioning System, a preferred systemic embodiment of “Digital Self”'' Human Colossus Foundations (2023-07-27) https://humancolossus.foundation/blog/nbspai-governance-starts-with-data-governancenbsp-atttk</ref> |
==Solutions== | ==Solutions== |
Revision as of 06:32, 13 August 2023
Full Title or Meme
A computer model of a real-world object for purposes of prediction or explaination of the actions of real-world object.
Context
- The concept of Digital Twin was created as an avatar that could be used as a model for one particular Entity’s behavior.
- It can also be used as an agent used to perform actions for a human operating independently in the digital regime.
Problems
- In one view, the Digital Twin is created to contain all possible Attributes and Behaviors of a real human being. This rather dystopian view creates a existential threat to the real human's privacy.[1]
Solutions
- How Digital Twins Could Protect Manufacturers from Cyberattacks[2]
At the U.S. National Institute of Standards and Technology and the University of Michigan, researchers have combined digital twin technology, machine learning, and human expertise into a cybersecurity framework for manufacturers. The researchers constructed a digital twin to mimic a three-dimensional (3D)-printing process, supplemented with information from a real 3D printer. Pattern-recognizing models monitored and analyzed continuous data streams computed by the digital twin as the printer created a part, then the researchers introduced various anomalies. The programs handed each detected irregularity to another computer model to check against known issues, for classification as expected anomalies or potential cyberthreats; a human expert made the final determination. The team found the framework could correctly differentiate cyberattacks from normal anomalies.
- How Digital Twins can improve manufacturing productivity by 20-30%.[3]
Reference
- ↑ Robert Mitwiki Self Actioning System, a preferred systemic embodiment of “Digital Self” Human Colossus Foundations (2023-07-27) https://humancolossus.foundation/blog/nbspai-governance-starts-with-data-governancenbsp-atttk
- ↑ NIST How Digital Twins Could Protect Manufacturers from Cyberattacks NIST News (2023-02-23) https://www.nist.gov/news-events/news/2023/02/how-digital-twins-could-protect-manufacturers-cyberattacks
- ↑ Demitrious Georgakopoulos + 1, Digital Twins and Dependency/Constraint-Aware SI for Digital Manufacturing CACM 66 No. 7 (2023-07) p. 87ff