Per Microsoft's definition in https://github.com/microsoft/edgeai-for-beginners/blob/main/...:
> EdgeAI represents a paradigm shift in artificial intelligence deployment, bringing AI capabilities directly to edge devices rather than relying solely on cloud-based processing. This approach enables AI models to run locally on devices with limited computational resources, providing real-time inference capabilities without requiring constant internet connectivity.
(This isn't necessarily just Microsoft's definition - https://www.redhat.com/en/topics/edge-computing/what-is-edge... from 2023 defines edge computing as on-device as well, and is cited in https://en.wikipedia.org/wiki/Edge_computing#cite_note-35)
I suppose that the definition "edge is anything except a central data center" is consistent between these two approaches, and there's overlap in needing reliable ways to deploy code to less-trusted/less-centrally-controlled environments... but it certainly muddies the techniques involved.
At this rate of term overloading, the next thing you know we'll be using the word "edgy" to describe teenagers or something...
> Welcome to EdgeAI for Beginners – your comprehensive...
Em dash and the word "comprehensive", nearly 100% proof the document was written by AI.
I use AI daily for my job, so I am not against it's use, but recently if I detect some prose is written by AI its hard for me to finish it.
bn-l•1h ago