Difference between revisions of "Machine Learning Services/Part Number Composition"
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Latest revision as of 14:52, 5 January 2021
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| Roadmap | IoT Services | ML/AI services | Embedded Design Services |
| History | |||
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| Version | Issue Date | Notes | |
| 1.0.0 | Jan 2021 | First release | |
Contents
Part number composition[edit | edit source]
IoT Services are provided based on the following Part Number table:
| Part number structure | Options | Description |
|---|---|---|
| DAI | Prefix for Machine Learning / AI services | |
| CODE |
There are many options:
|
Detailed description of these services are then reported in the proposal description prepared by our tech team. Other versions can be available, please contact technical support |
Prototypes and Proof Of Concept (PoC) systems are released typically with a specific PN (These PoCs are maybe requested for the DAI-MDP service):
| Part number structure | Options | Description |
|---|---|---|
| CUDDEVKIT | Prefix for PoC and Prototypes | |
| Number |
A progressive number like:
Depends only on the progression number of PoC we develop |
Example[edit | edit source]
Embedded Design Service like DAI-CLU
- DAI - Machine Learning / AI services
- -CLU - Continuous Learning and Update services The description of what proposed is then on the offer/proposal
PoC design service like CUSDEVKIT_0005. This service is related to DAI-MDP service
- CUSDEVKIT - Custom Development Kit
- _0005 - version 0005. The description of what proposed is then on the offer/proposal
