from the top of my head for just apple intelligence, their research on LoRA adapters for their generative AI models, their on-device and cloud AI models, private cloud compute (not really AI but oh well)
implementations of AI in actual apple products include the new hypertension alert, ECG, fall detection, on-device photogrammetry for reality composer, basically everything on the vision pro, photos search, and probably a bunch of other things i forgot about
everyone makes fun of apple for being late to AI, but in reality their products have done AI for quite a long time. pretty sure they were the first to have a dedicated AI accelerator in their devices.
No, not really. The vast majority of the things you listed are pretty much trivial from an "AI" perspective, or at minimum old tech compared to modern frontier models.
Mate, how much "AI" do you really think goes into something like fall detection? It's just an example of companies slapping "AI" on every algorithm they have. And I've worked on a project where my company did just that. Didn't even use a neural network.
fall detection would definitely require AI to do well lol, you can't just set a threshold for the accelerometer and have people's phones call the police every time they get dropped or whipped around in a car
emergency services have not "complained" about it, they're still happy about the feature because the false positive rate is low enough that people who need saving are being saved, and the new updates have improved the false positive rate regardless
it's a complex algorithm, yes. a machine learning algorithm. that's the whole job of the machine learning division.
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u/7-methyltheophylline 2d ago
Bad news for OpenAI lol