Difference between revisions of "AI Marketplace & Toolkit/Model Interoperability"
m (Text replacement - "http:" to "https:") |
m |
||
Line 12: | Line 12: | ||
* [[Service Capabilities]] | * [[Service Capabilities]] | ||
* [[Algorithm Administration#Automated Learning|Automated Learning]] | * [[Algorithm Administration#Automated Learning|Automated Learning]] | ||
− | * Google [[AI Hub]] | + | * [[Google]] [[AI Hub]] |
<youtube>cJHxn7QYy74</youtube> | <youtube>cJHxn7QYy74</youtube> | ||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
== OpenCog AtomSpace == | == OpenCog AtomSpace == |
Revision as of 08:36, 30 April 2023
YouTube search... ...Google search
OpenCog AtomSpace
YouTube search... ...Google search
A methodological framework: develop a representation of a general class of architectures within which different architectures can be compared and contrasted. This should facilitate communication and integration across sub-fields of and approaches to AI, as well providing a framework for evaluating alternative architectures. A Framework for Comparing Agent Architectures | Sloman, A. and Scheutz, M.
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.