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Gativus has a vision of artificial intelligence based on nature of human consciousness. Most fundamental is the fact, that human’s brain simultaneously host two quite different networks: neural network and concept network. | <big>Gativus has a vision of artificial intelligence based on nature of human consciousness. Most fundamental is the fact, that human’s brain simultaneously host two quite different networks: neural network and concept network.</big> | ||
[[File:MEM-116-101.gif|center|thumb|''Figure 1: Two Networks in one brain''|617x617px]] | [[File:MEM-116-101.gif|center|thumb|''Figure 1: Two Networks in one brain''|617x617px]] | ||
Research in neural networks has a lot of achievements (such as GPT, LLM, etc.), whilst the concept/knowledge networks can’t boast significant results (very restricted solution, such as RDF/OWL description). | <big>Research in neural networks has a lot of achievements (such as GPT, LLM, etc.), whilst the concept/knowledge networks can’t boast significant results (very restricted solution, such as RDF/OWL description).</big> | ||
Gativus is making attempt to converge these two networks into unified common network and give the researches an opportunity to find association between neural and concept layers. | <big>Gativus is making attempt to converge these two networks into unified common network and give the researches an opportunity to find association between neural and concept layers.</big> | ||
GNEN | [[GCON]] Concept Network description | ||
[[GNEN]] Neural Network description |
Revision as of 04:58, 7 August 2024
Gativus has a vision of artificial intelligence based on nature of human consciousness. Most fundamental is the fact, that human’s brain simultaneously host two quite different networks: neural network and concept network.
Research in neural networks has a lot of achievements (such as GPT, LLM, etc.), whilst the concept/knowledge networks can’t boast significant results (very restricted solution, such as RDF/OWL description).
Gativus is making attempt to converge these two networks into unified common network and give the researches an opportunity to find association between neural and concept layers.
GCON Concept Network description
GNEN Neural Network description