4 ms·

Google ships all these too, either in Android or Google Photos. The UI is sometimes less smooth than Apple's, but ML is competitive. (Which I think is your poin

by bla3 4y ago

Google ships all these too, either in Android or Google Photos. The UI is sometimes less smooth than Apple's, but ML is competitive. (Which I think is your point: Apple does have competitive ML.)

axg11 4y ago
I'm only familiar with Android from a distance - does Google Photos perform all the analysis on device?
- mupuff1234 4y ago
  So how can you claim that apple has taken the lead if you're not familiar with the biggest direct competitor?
  - isodev 4y ago
    I think the question was rhetorical. At this time, Apple is the only FAANG(M) with affinity for building features with on-device algorithms.
- criddell 4y ago
  > does Google Photos perform all the analysis on device? Does Apple? If I upload photos from my computer it does analysis in the cloud, doesn't it?
  - willseth 4y ago
    No. Apple has published several papers about how it works. It all happens on device.
    - criddell 4y ago
      How does that work when you upload via the browser from a Windows or Linux PC? Do they get stored in iCloud without being processed?
      - axg11 4y ago
        Presumably one of: - the image is never analyzed - the image is sync'd to device and then analyzed
- dekhn 4y ago
  why would you make your claim about that apple is ahead if you don't know the answer to this question?
- lupex 4y ago
  Google Photos is the wrong product to ask this question, IMHO. One of its key highlight is sharing albums with others and preserving them for the future, so why waste a consumer device's energy on unnecessary tasks if the image is going to end in a Google datacenter anyway? Google Lens, which isn't about sharing, does run many functions on device: for example, it does ondevice offline translation: https://9to5google.com/2021/01/25/google-lens-translate-offline/ https://9to5google.com/2021/01/25/google-lens-translate-offl... The general direction at Google (https://ai.googleblog.com/2021/11/improved-on-device-ml-on-pixel-6-with.html https://ai.googleblog.com/2021/11/improved-on-device-ml-on-p...) is to move as much as possible on device for privacy and latency reasons. There are published and opensource (Apache license, according to the github LICENSE file) models for Tensorflow Lite which runs on Pixel Edge TPUs (and most embedded devices): https://tfhub.dev/s?q=edgetpu https://tfhub.dev/s?q=edgetpu https://github.com/tensorflow/models/tree/master/official/projects/edgetpu/ https://github.com/tensorflow/models/tree/master/official/pr...

by bla3 4y ago

Google ships all these too, either in Android or Google Photos. The UI is sometimes less smooth than Apple's, but ML is competitive. (Which I think is your point: Apple does have competitive ML.)

axg11 4y ago

I'm only familiar with Android from a distance - does Google Photos perform all the analysis on device?

mupuff1234 4y ago
So how can you claim that apple has taken the lead if you're not familiar with the biggest direct competitor?
- isodev 4y ago
  I think the question was rhetorical. At this time, Apple is the only FAANG(M) with affinity for building features with on-device algorithms.
criddell 4y ago
> does Google Photos perform all the analysis on device? Does Apple? If I upload photos from my computer it does analysis in the cloud, doesn't it?
- willseth 4y ago
  No. Apple has published several papers about how it works. It all happens on device.
  - criddell 4y ago
    How does that work when you upload via the browser from a Windows or Linux PC? Do they get stored in iCloud without being processed?
    - axg11 4y ago
      Presumably one of: - the image is never analyzed - the image is sync'd to device and then analyzed
dekhn 4y ago
why would you make your claim about that apple is ahead if you don't know the answer to this question?
lupex 4y ago
Google Photos is the wrong product to ask this question, IMHO. One of its key highlight is sharing albums with others and preserving them for the future, so why waste a consumer device's energy on unnecessary tasks if the image is going to end in a Google datacenter anyway? Google Lens, which isn't about sharing, does run many functions on device: for example, it does ondevice offline translation: https://9to5google.com/2021/01/25/google-lens-translate-offline/ https://9to5google.com/2021/01/25/google-lens-translate-offl... The general direction at Google (https://ai.googleblog.com/2021/11/improved-on-device-ml-on-pixel-6-with.html https://ai.googleblog.com/2021/11/improved-on-device-ml-on-p...) is to move as much as possible on device for privacy and latency reasons. There are published and opensource (Apache license, according to the github LICENSE file) models for Tensorflow Lite which runs on Pixel Edge TPUs (and most embedded devices): https://tfhub.dev/s?q=edgetpu https://tfhub.dev/s?q=edgetpu https://github.com/tensorflow/models/tree/master/official/projects/edgetpu/ https://github.com/tensorflow/models/tree/master/official/pr...