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I'm curious about this. Panasonic has spent the last ten years or so working on AI autofocus, in their Depth from Defocus technology. It's interesting, but most of the time, it fails in speed against phase-detect AF simply because PDAF needs a single capture of the PDAF sensor points, while DPAF needs at least two image captures. Still better than CDAF needing many.

The things Sony's managed with eye AF, the things Olympus has managed with AI-object recognition, are another layer on this. I guess the OM-D E-M1X users are getting birds added on top of trains, planes, and automobiles this month, but it seems those deep leaning models, even when effective, have been entirely at the whim of the hardware provider.

So I'm curious where you're applying AI in AF. And it's ultimately speed that drives it -- doesn't matter what you can compute, it matters what you can computer in 1/100 or better second to get the shot. Incidentally, I am a backer... as a photographer and computer engineer, IO couldn't exactly let this slide by.

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