Repozytorium publikacji - Politechnika Gdańska

In this paper, we propose the Neural Knowledge DNA, a framework that tailors the ideas underlying the success of neural networks to the scope of knowledge representation. Knowledge representation is a fundamental field that dedicates to representing information about the world in a form that computer systems can utilize to solve complex tasks. The proposed Neural Knowledge DNA is designed to support discovering, storing, reusing, improving, and sharing knowledge among machines and computing devices. It is constructed in a similar fashion of how DNA formed: built up by four essential elements.

Autorzy

• Haoxi Zhang,
• Cesar Sanin,
• prof. dr hab. inż. Edward Szczerbicki link otwiera się w nowej karcie