Akraino KubeEdge blueprint project builds real world Edge computing user cases based on KubeEdge. The first case of this project is ML Offloading. With Artificial Intelligence democratized into mobile phones, the computing resource limitation of mobile devices is increasingly a concern. More and more apps running on mobile phones have to offload ML related operations, starting with the public cloud. Offloading to edge is a natural thought for latency and data security considerations.
The Internet of Things and Artificial Intelligence are undoubtedly key elements on the stony path to Digital Transformation and future software development. Both are not new but technical reality for our projects and products over decades. However, the new feature is the scaling effect of IoT and AI explosively penetrating the software world.
Teaser: Today, the development of automotive software functions based on artificial intelligence still needs a lot of different tools, languages and frameworks.
In this talk, we introduce how we built upon the Eclipse eco-system an integrated development environment called "DAISY" (Development environment for Artificial Intelligence SYstems).