Gativus: Difference between revisions
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<big>'''Gativus''' - an ecosystem for the development, debugging and runtime of digital devices based on neuron network principles.<br | <big>'''Gativus''' - an ecosystem for the development, debugging and runtime of digital devices based on neuron network principles.<br> | ||
<br> | <br> | ||
The subject of the '''Gativus project''' is: <br> | The subject of the '''Gativus project''' is: <br></big> | ||
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File:Logo.jpg|[[GTOM|'''G'''ativus '''T'''heory '''O'''f '''M'''ind - (GTOM)''']] <br> A set of facts and conclusions used to explain phenomenon of human conscience. From cellular level to the knowledge. | File:Logo.jpg|[[GTOM|'''G'''ativus '''T'''heory '''O'''f '''M'''ind - (GTOM)''']] <br> A set of facts and conclusions used to explain phenomenon of human conscience. From cellular level to the knowledge. | ||
File:GATN.png|[[GNET|'''G'''ativus '''NET'''work - '''(GNET)''']] <br> The Network of unified [[NDDI|digital instances]], which covers all known layers, such as cellular, spike, learning and knowledge, defined in [[GTOM]]. | File:GATN.png|[[GNET|'''G'''ativus '''NET'''work - '''(GNET)''']] <br> The Network of unified [[NDDI|digital instances]], which covers all known layers, such as cellular, spike, learning and knowledge, defined in [[GTOM]]. | ||
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<big>'''Gativus''' | <big>The '''Gativus''' project is to solve:</big><br><br> | ||
'''Convergence''' <br> GTOM’s describes as fact existence of cellular/spike networks and knowledge | '''Convergence''' <br> GTOM’s describes as fact existence of cellular/spike networks and cognitive/knowledge network in one organ – human brain. However, current technical implementations provide only one or a few layers with substantial gap between knowledge and cellular/spike networks. Gativus aims to develop a machine which will encourage community for research and invention of connection between these layers, and eventually converge all of the in the single unified network. | ||
<br>'''Neuromorphic device''' <br> The success of GPT and LLM is obvious, but it is not entirely neuromorphic. It is more a mathematical model, substantially reduced from real world, as we assume it.Gativus aims to catch up with these achievements, and | <br> | ||
<br>'''Neuromorphic device''' <br> The success of GPT and LLM is obvious, but it is not entirely neuromorphic. It is more a mathematical model, substantially reduced from real world, as we assume it. Gativus aims to catch up with these achievements, and provide pure neuromorphic network with much more similarity with biological one. | |||
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Latest revision as of 04:46, 9 August 2024
Gativus - an ecosystem for the development, debugging and runtime of digital devices based on neuron network principles.
The subject of the Gativus project is:
Gativus Theory Of Mind - (GTOM)
A set of facts and conclusions used to explain phenomenon of human conscience. From cellular level to the knowledge.
Gativus NETwork - (GNET)
The Network of unified digital instances, which covers all known layers, such as cellular, spike, learning and knowledge, defined in GTOM.
GATivus Edge - (GATE)
Material piece of equipment, capable to host the GNET network entities.
GAtivus ARchitect - (GAAR)
Collection of tools to communicate to the GNET. To create initial network, see, analyze and amend existing one.
The Gativus project is to solve:
Convergence
GTOM’s describes as fact existence of cellular/spike networks and cognitive/knowledge network in one organ – human brain. However, current technical implementations provide only one or a few layers with substantial gap between knowledge and cellular/spike networks. Gativus aims to develop a machine which will encourage community for research and invention of connection between these layers, and eventually converge all of the in the single unified network.
Neuromorphic device
The success of GPT and LLM is obvious, but it is not entirely neuromorphic. It is more a mathematical model, substantially reduced from real world, as we assume it. Gativus aims to catch up with these achievements, and provide pure neuromorphic network with much more similarity with biological one.
