A recent thesis on "Orchestration of machine learning workflows on Internet of Things data" [1] mentioned that Rafiki (a sub module of SINGA) dose not provide an integrated platform for ML on IoT data (see Table 2.1).
I think the integration with PLC4X will fix this issue and provide a useful required feature by industry. Let's start planning for this collaboration. [1] https://ir.lib.uwo.ca/etd/6150/ Moaz On Sun, May 5, 2019 at 5:10 PM Wang Wei <[email protected]> wrote: > Hi all, > > +1. Looking forward to the collaborations! > > Regards, > Wei (from SINGA team) > > On Sun, May 5, 2019 at 10:33 PM Julian Feinauer < > [email protected]> wrote: > > > Hi Moaz, > > > > Big +1 from me... It really was a pleasure with you! And I guess toddy > and > > your lion will make a pretty lovely pair :) > > > > Julian > > > > Von meinem Mobiltelefon gesendet > > > > > > -------- Ursprüngliche Nachricht -------- > > Betreff: [EU-FOSSA 2 2019 Hackathon] Integration between SINGA and PLC4X > > Von: Moaz Reyad > > An: [email protected],[email protected] > > Cc: "Saranjit-Singh.ARORA" ,Suwon Ham ,Sally Khudairi ,Christofer Dutz > > > > Dear SINGA and PLC4X dev, > > > > I met with Christofer in the EU-FOSSA 2 2019 Hackathon and we discussed a > > possible collaboration between the two projects. > > > > More specifically, we could check the integration between SINGA I/O > modules > > and PLC4X which will probably allow better communication between > industrial > > IoT and machine learning. > > > > PLC4X already implemented (or planned to implemented) integrations with > > several projects and a deep learning integration module with SINGA can be > > useful for both projects. > > > > Both dev teams are welcome to share their ideas and discuss this further. > > > > Best regards, > > Moaz > > >
