Changes

|style="width:33%; border-left:solid 2px #ededed;border-right:solid 0px #ededed;border-top:solid 0px #ededed;border-bottom:solid 2px #ededed; text-align:left; vertical-align:top; background-color:#ffffff"| <br />[[File:TBDNeuralNetwork.png|none|200pxx150px|center]]<br />'''Machine Learning TBDModel design'''* TBDPoC design for dataset acquisition* Dataset recording* TBDModel design and definition (using the most popular techniques depending on the Scope of Supply)* Dataset analysis and preparation for Learning and Training phase|style="width:33%; border-left:solid 0px #ededed;border-right:solid 0px #ededed;border-top:solid 0px #ededed;border-bottom:solid 2px #ededed; text-align:left; vertical-align:top; background-color:#ffffff"| <br />[[File:TBD002425_%2B0.003355520.png|none|200pxx150px|center|]]<br />'''Machine Model Learning TBDand Training'''* TBDModel deployment on target* Design of Learning machine on local or cloud solution* test bench based solution for accuracy evaluation* TBDDeployment on the field and fine tuning|style="width:33%; border-left:solid 0px #ededed;border-right:solid 2px #ededed;border-top:solid 0px #ededed;border-bottom:solid 2px #ededed; text-align:left; vertical-align:top; background-color:#ffffff"|<br /> [[File:TBDML-TN-001-MPSoC-PL1.png|none|200pxx150px|center|]]<br />'''Machine Continuous Learning TBDand Update'''* TBDIoT based continuous recording of new dataset information* New dataset information review and integration* Continuous model Training and Learning* TBDDeployment OTA on the field of new model updates

Depending on the requested task, the project may require a regular service for updates and improvements (such as the CVE monitoring and resolution via updated version of the Linux kernelimprovement s on ML model thanks to an increased/modified dataset). In this case, this service is released regularly via sw updates in our Gitlab server with release candidates and official releases