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Jul 6, 2022
EdgeX Foundry Issues Bug Fix Release (v2.1.1) of its EdgeX Jakarta Release
The EdgeX Foundry project, a highly-scalable and flexible open source framework that facilitates interoperability between devices and applications at the IoT edge, issued a bug fix release (version 2.1.1) of the EdgeX Jakarta release. Importantly, as Jakarta is under long-term-support (LTS), this new bug fix release addresses a critical Common Vulnerabilities…
Jun 23, 2022
Calling all Edge App Developers! Join the ETSI/LF Edge Hackathon
We’re partnering with ETSI ISG MEC to host a Hackathon to encourage open edge developers to build solutions that leverage ESTI MEC Services APIs and LF Edge (Akraino) blueprints. Vertical use cases could include Automotive, Mixed and Augmented Reality, Edge Computing and 5G, and more. Teams are highly encouraged to…
Jun 10, 2022
What’s Next for EdgeX: Onto Levski
By Jim White, EdgeX Foundry TSC chair May was a busy month at EdgeX Foundry. EdgeX released version 2.2, Kamakura in the middle of May (details here) and went straight into planning our fall release – code named Levski. We also selected our 2022 EdgeX Award winners as well, and…
May 18, 2022
EDGE in the Healthcare Nutrition Industry
By LF Edge Community members Utpal Mangla (Industry EDGE Cloud – IBM Cloud Platform); Atul Gupta (Lead Data Architect - IBM); and Luca Marchi (Industry EDGE and Distribute Cloud – IBM Cloud Platform) Diet and Nutrition plays a vital role in healthcare and often it is still left behind by…
May 12, 2022
EdgeX Foundry Turns 5 Years Old & Issues its 10th Release
By Jim White, EdgeX Foundry Technical Steering Committee Chair EdgeX Foundry, an LF Edge project, turned five years old in April and celebrated with its 10th release! Today, the project announced the release of Kamakura - version 2.2 of the edge/IoT platform. EdgeX has consistently released two versions a year…
Apr 28, 2022
Deep Learning Models Deployment with Edge Computing
By Utpal Mangla (IBM), Luca Marchi (IBM), Shikhar Kwatra (AWS) Smart Edge devices across the world are continuously interacting and exchanging information through machine-to-machine communication protocols. Multitude of similar sensors and endpoints are generating tons of data that needs to be analyzed in real-time used to train deep complex learning…
