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grow your own maslo

Our platform has a core set of signal processing and data repository across all Maslo AIs and each individual user has a specific AI adapting at its own pace with a Maslo user. The core serves much like a cultural and genetic core reference but is not normative.

The general platform should be viewed much more like a slower moving aggregate AI than the individual AIs. We have also developed a suite of UI functionality to emit complex signals in the form of visual and audio gestures as well as voice and text prompts.

we are using the following signal processing techniques and pipelines:

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    tensorflow

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    Google Cloud NLP

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    wolfram language

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    core ml