Difference between revisions of "AI Marketplace & Toolkit/Model Interoperability"

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* [[Google]] [[AI Hub]]
 
* [[Google]] [[AI Hub]]
  
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== OpenCog AtomSpace ==
 
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[https://www.youtube.com/results?search_query=OpenCog+AtomSpace+architecture YouTube search...]
 
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[https://www.google.com/search?q=OpenCog+AtomSpace+deep+machine+learning+ML ...Google search]
 
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* [https://blog.singularitynet.io/singularitynet-integrates-opencog-s-atomspace-hypergraph-to-accelerate-intelligence-development-1301e736766d Integrating OpenCog‘s Atomspace Hypergraph to Accelerate Intelligence Development | Anton Kolonin]
 
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A methodological framework: develop a representation of a general class of architectures within which different architectures can be compared and contrasted. This should facilitate
 
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communication and integration across sub-fields of and approaches to AI, as well providing a framework for evaluating alternative architectures.  [https://hrilab.tufts.edu/publications/slomanscheutz02ukci.pdf A Framework for Comparing] [[Agents|Agent]] Architectures | Sloman, A. and Scheutz, M.
 
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<youtube>xdYJJVPkjK8</youtube>
 
  
 
== Aigents ==
 
== Aigents ==

Revision as of 09:39, 30 April 2023

YouTube search... ...Google search


Aigents

YouTube search... ...Google search

Open Neural Network Exchange (ONNX) Format

YouTube search... ...Google search

Open ecosystem to address the interoperability among neural network toolkits challenge, Amazon AWS, Facebook and Microsoft have collaborated to build Open Neural Network Exchange (ONNX), which makes it possible to reuse trained neural network models across multiple frameworks.

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