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Google’s ML Kit makes it easy to add AI smarts to iOS and Android apps
- djtriptych 8y agoFor whose definition of "easy"? Can we axe the marketing-speak here? It's just released; developers get to decide how easy it is, not Google PR / Techcrunch right?
- tyrankh 8y agoWould it be a better page if it added footnotes to all adjectives "* For some definition of easy|some-adjective." :P All joking aside, it's just a click bait title - that's how these things go. Try it out yourself and blog about your experiences with it!
- erk__ 8y agoGoogle are good at choosing names... http://www.elsman.com/mlkit/ http://www.elsman.com/mlkit/
- hooluupog 8y agoGoogle: ARCore MLkit Apple: ARKit CoreML
- Klathmon 8y agoApple have been using (name)core and (name)kit for a lot longer. As an aside, how do you escape a star character on HN without dropping to a code block?
- colonelxc 8y agohttps://news.ycombinator.com/formatdoc https://news.ycombinator.com/formatdoc You need a space after the star, (* core) which is not like escaping at all...
- deleted 8y ago[deleted]
- zaksoup 8y agonit: I think the apple naming convention has been (name)kit and core(name).
- Klathmon 8y agoI am really only familiar with webkit and webcore, so I just assumed most others followed that pattern! CoreML always sounded wrong to me because of that.
- saagarjha 8y agoApple seems to use both, but they've been leaning towards Core* rather than *Core recently. We have CoreAudio, CoreBluetooth, CoreFoundation, CoreGraphics, CoreImage, CoreLocation, CoreText…but there's also WebCore, JavaScriptCore, QuartzCore, and ImageCaptureCore.
- rdtsc 8y agohttps://en.wikipedia.org/wiki/Go!_(programming_language) https://en.wikipedia.org/wiki/Go!_(programming_language)
- laser 8y agoThis looks awesome. Though, I'm disappointed the face tracking has pretty limited landmarks and no positional tracking, I'm sure they'll improve the models in the future. https://firebase.google.com/docs/ml-kit/face-detection-concepts https://firebase.google.com/docs/ml-kit/face-detection-conce...
- sandGorgon 8y agoThis landmark tracking on the mobile is new for tensorflow . The benchmark here is dlib which does an implementation of One Millisecond Face Alignment with an Ensemble of Regression Trees paper by Kazemi and Sullivan. Anyone know comparison benchmarks?
- lalos 8y agoCan't stop thinking about the centralization going on here, even if you avoid using Google apps now any app could be feeding back your information to Google.
- bilbo0s 8y agoToo bad "Ingredients" labels like they have on food are impractical in the App space. But maybe Apple could highlight key APIs and net connections that it finds in use during app review. Something like, "WARNING: This app makes silent, background connections to [Google, Facebook, etc etc]" Like In App Purchase warnings, but for background net connections.
- spsful 8y agoI really like this idea, and while it seems like it would be a bit difficult for Apple to implement and the common consumer to understand, it would still further their goal of providing privacy to their users. Plus it would help consumers decide what services they want to give their information and analytics data to, which is pretty powerful.
- nxc18 8y agoThis is a fabulous idea - and with the review process requires, I don't see this being unreasonable. Developers will hate it, but I think Apple can take the hit. Google, too, but their review process is something of a joke.
- debt 8y agoYeah like the Facebook login button.
- halflings 8y ago... the models are on-device. That's the whole point. From the article: "While Google Cloud already offers a number of similar pre-trained and customizable machine learning APIs, those don’t work offline" "To power the on-device models, ML Kit uses the standard Neural Networks API on Android and its equivalent on Apple’s iOS."
- 8y ago
- thirduncle 8y agoTry again, please? Almost by definition -- one does not simply "add smarts" (of any kind) to an app.
- rahimnathwani 8y agoWhy do they provide another API for offline face detection, when Google Play Services already comes with one? It would be great if apps that use the existing offline face detection were just switched to the better model, without needing to change any app code. And, if the problem is that some devices can't run the new models, it would better for that to be handled by the API provider, than by each app developer.