If you read the article thoroughly you’d know that a smaller model runs locally, to get an guess that a landmark might be in a spot in the image. The actual identification and tagging is done in the cloud. The tag is then sent back.
If you read the article thoroughly you’d know that a smaller model runs locally, to get an guess that a landmark might be in a spot in the image. The actual identification and tagging is done in the cloud. The tag is then sent back.
Because you took two selfies in a restaurant near there, made a huge stunning collage of a duck below the tower and a couple photos from a while away to get the whole tower in view.
I’m running this tech at home, because we had the same use case. Except for me it’s running on a nas, not Apple’s servers. The location solution doesn’t quite work as well when you’re avid photographer
It let’s you type “eiffel tower” into search and get those pictures. Rather than all the other unspeakable things you did in Paris that night
Their chips are pretty good at not drawing much power. But then you also get to the balance of power cost, computing power and physical space.
Google and Microsoft are already building their own power generation systems for even faster AI slop. That would make power a lot cheaper, and super efficient chips might not be the best answer.
I don’t know which way Apple will go, except further up their own behind. But either way, these are some really cool approaches to implementing this technology, and I hope they keep it up!
It’s a cool idea: certain approaches to encryption still allow math to be performed. Here’s one example: say you encrypt data X with algorithm Z. then you could multiply Z by four, which would also multiply X by four. So you can run computations on the encrypted data without decrypting it.
It would be quite complex, but I suppose you could run a machine learning model this way to tag images without ever seeing the image, or knowing the resulting tag. Only the decryption key can be used read the results (which is on the user’s iphone, I suppose).
However… I don’t know how much compute cost this adds to an already expensive computation. The encryption used might not be the strongest out there. But the idea is pretty cool!
Lemmy isn’t promoted by Apple
Yep, machine learning is nice