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Re:Launch HN: Numericcal (YC.S18) – Lifecycle Management for... by zitterbewegung on Wednesday August 08, 2018 @08:09PM (#17720728)
Your project sounds really interesting. Machine learning models that can be updated and treated more like packages will really give people an edge over people who can't perform that task.

I made a project called mms2concept. What it would do is given a picture taken by a phone (or anything that could send an MMS really) and it would attempt to identify the image based on the picture. I used Clarfai and Twilio to do this.

I think with very resource constrained edge devices either you would have a much more powerful "basestation" style deployments where you have an arduino or similar device collecting edge data and sending it back to that "basestation".

Re:Launch HN: Numericcal (YC.S18) – Lifecycle Management for... by radoye on Wednesday August 08, 2018 @08:21PM (#17720791)
Can you share some writeup or repo for your project?

We internally have an auto-migration tool (currently very primitive) that can learn from cloud hosted model and cache it locally on the device (that's what this infra & packaging was built for ;)).

Re:Launch HN: Numericcal (YC.S18) – Lifecycle Management for... by zitterbewegung on Wednesday August 08, 2018 @08:25PM (#17720819)
Re:Launch HN: Numericcal (YC.S18) – Lifecycle Management for... by radoye on Wednesday August 08, 2018 @08:37PM (#17720868)
For some reason, your quick demo reminded me of this awesome MS project: https://www.microsoft.com/en-us/seeing-ai

Though we would be pushing it the boundary with 3+ DNNs on mobile, adding speech2text and text2speech to your app would make it an interesting addition to Seeing-AI, IMO.