KAIST programmers created the DarkBERT AI model to search for scientific information on the dark web

Scientists at the Korea Institute of Science and Technology (KAIST) created the DarkBERT AI model, which made it possible to search for valuable scientific information on the dark web.

This was told by the portal Tom’s Hardware. The neural network has special filters that will protect users from unwanted information. The DarkBERT AI model is based on the RoBERTa architecture, which was created back in 2019. Since then, it has been updated in order and received a second life, after which scientists trained it to scan the dark web through the anonymous Tor browser, then filter the information found and give out exactly the one that the user needs.

The result of the work done was DarkBERT, which is quite skillfully able to analyze fragments of content from the darknet and extract only useful information from there. One of the benefits of development is understanding the characteristics of large language models.

The fact is that the darknet is a specific mixture of languages ​​for business communication, and DarkBERT is trained specifically for it. This will allow law enforcement agencies to explore the secret part of the Internet in depth in order to extract criminals from it, writes 3D News .

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