Difference between revisions of "AI Marketplace & Toolkit/Model Interoperability"
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|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | ||
}} | }} | ||
| − | [ | + | [https://www.youtube.com/results?search_query=AI+Marketplace+Toolkit+Model+deep+machine+learning+ML YouTube search...] |
| − | [ | + | [https://www.google.com/search?q=AI+Marketplace+Toolkit+Model+deep+machine+learning+ML ...Google search] |
* [[Building Your Environment]] | * [[Building Your Environment]] | ||
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== SingularityNET == | == SingularityNET == | ||
| − | [ | + | [https://www.youtube.com/results?search_query=SingularityNET+architecture YouTube search...] |
| − | [ | + | [https://www.google.com/search?q=SingularityNET+deep+machine+learning+ML ...Google search] |
| − | * [ | + | * [https://singularityhub.com/2018/07/22/from-here-to-human-level-artificial-general-intelligence-in-four-not-all-that-simple-steps/ From Here to Human-Level Artificial General Intelligence in Four (Not All That) Simple Steps | Ben Goertzel] |
| − | * [ | + | * [https://www.techemergence.com/the-future-of-artificial-intelligence-according-to-ben-goertzel/ The Future of Artificial Intelligence According to Ben Goertzel | Ben Goertzel] |
<youtube>zb8Nz26rzKU</youtube> | <youtube>zb8Nz26rzKU</youtube> | ||
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== OpenCog AtomSpace == | == OpenCog AtomSpace == | ||
| − | [ | + | [https://www.youtube.com/results?search_query=OpenCog+AtomSpace+architecture YouTube search...] |
| − | [ | + | [https://www.google.com/search?q=OpenCog+AtomSpace+deep+machine+learning+ML ...Google search] |
| − | * [ | + | * [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] |
A methodological framework: develop a representation of a general class of architectures within which different architectures can be compared and contrasted. This should facilitate | 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. [ | + | 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. |
<youtube>L6LMZ3MyFCM</youtube> | <youtube>L6LMZ3MyFCM</youtube> | ||
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== Aigents == | == Aigents == | ||
| − | [ | + | [https://www.youtube.com/results?search_query=Aigents+architecture YouTube search...] |
| − | [ | + | [https://www.google.com/search?q=Aigents+deep+machine+learning+ML ...Google search] |
<youtube>ji836ZIzFE0</youtube> | <youtube>ji836ZIzFE0</youtube> | ||
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== Open Neural Network Exchange (ONNX) Format == | == Open Neural Network Exchange (ONNX) Format == | ||
| − | [ | + | [https://www.youtube.com/results?search_query=Open+Neural+Network+Exchange+ONNX+architecture+AI+machine+learning+model+toolkit YouTube search...] |
| − | [ | + | [https://www.google.com/search?q=Open+Neural+Network+Exchange+ONNX+deep+machine+learning+ML ...Google search] |
| − | * [ | + | * [https://onnx.ai/ ONNX.ai] - a community project created by [[Meta|Facebook]] and [[Microsoft]]. |
Open ecosystem to address the interoperability among neural network toolkits challenge, [[Amazon]] AWS, [[Meta|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. | Open ecosystem to address the interoperability among neural network toolkits challenge, [[Amazon]] AWS, [[Meta|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. | ||
Revision as of 19:41, 27 March 2023
YouTube search... ...Google search
Contents
SingularityNET
YouTube search... ...Google search
- From Here to Human-Level Artificial General Intelligence in Four (Not All That) Simple Steps | Ben Goertzel
- The Future of Artificial Intelligence According to Ben Goertzel | Ben Goertzel
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.
