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)
A writeup is at https://steemit.com/twilio/@zitterbewegung/mms2text-let-your....
I have a repository of the software at https://github.com/zitterbewegung/mms2text .
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.
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".