OpenRTiST 2.0

OpenRTiST 2.0 has been released, built on a new Gabriel platform using websockets/protobufs. New features include dynamic discovery of styles, local execution using pytorch-android, and a new web app for training new models.

Blog: Overcoming Visual Analysis Paralysis

Written by Jim Blakley| October 25, 2019 (Note: This is a repost of my blog on the Intel IT Peer Network. While the theme is not edge specific, the use case – smart city video analytics – is very much an edge case. And, the request that motivated the work was in

Edge Computing Hackathon (27-28th September, Cracow, Poland)

Probably the biggest European edge computing hackathon will be held in Cracow last weekend of September. The developers will get the opportunity to use Edge Cloud 1.0 APIs and local edge computing infrastructure with 4G and 5G access. For more details please visit https://www.krakowhack.mobiledgex.com/

Deep neural networks, computer vision, and edge-native applications

Very recently, triggered by a conversation about how to optimize a machine learning application in the context of 5G and network-based edge computing, one of my colleagues pointed me to a 2017 paper about collaborative intelligence between cloud and mobile edge, authored by Yiping Kang et al. That paper analyses

Blog: Sharing the Video Edge

Written by Jim Blakley (@jimblakley) | April 16, 2019 (This is a repost of my Intel blog on the work at the Intel Science and Technology Center for Visual Cloud Systems at CMU and partially funded by Intel) You may recognize the images at below as Bell System photos from the

Blog: Feeling a Little Edgy

Written by Jim Blakley (@jimblakley) | March 28, 2019 (This is a repost of my Intel blog on the work at CMU on OpenRTIST and partially funded by Intel) I remember in the heady ur-cloud days of 1999 and 2000 having discussions with executives at major hosting companies like Exodus Communications*

Blog: The Loneliness of the Expert

Written by Jim Blakley (@jimblakley) | March 5, 2019 (This is a repost of my Intel blog on the work at CMU around Eureka partially sponsored by Intel). Before its ignominious demise, I was one of the few fans of the TV series “Wisdom of the Crowd”* -- mostly because of

AR need for the edge computing

I have come across an interesting example of AR developer's experience in the context of edge computing. Please see following publication of Seong-Jik Kim from KBS. https://www.linkedin.com/feed/update/urn:li:activity:6555928782660825088/ On the one hand Kim has shown how capable new phones can be, on