On the machine learning side of AI, they have CoreML. You can drag-and-drop images into Xcode to train an image classifier. And run the models on device, so if solar flares destroy the cell phone network and terrorists bomb all the data centers, your phone could still tell you if it's a hot dog or not. https://developer.apple.com/machine-learning/ https://developer.apple.com/machine-learning/core-ml/... - Source: Hacker News / 4 months ago

Apple has actually created ML chipsets, so AI can be executed natively, on-device. https://developer.apple.com/machine-learning/. - Source: Hacker News / 6 months ago

For your reference, Apple's pages for Machine Learning for Developers and for their research. The Apple Neural Engine was custom designed to work better with their proprietary machine learning programs -- and they've been opening up access to developers by extending support / compatibility for TensorFlow and PyTorch. They've also got CoreML, CreateML, and various APIs they are making to allow more use of their... Source: about 1 year ago

> It’d be one thing if Apple actually worked on AI softwares a bit and made it readily available to developers. * Apple Silicon CPUs have a Neural Engine specifically made for fast ML-inference * Apple supports PyTorch (https://developer.apple.com/metal/pytorch/) * Apple has its own easily accessible machine-learning framework called Core-ML (https://developer.apple.com/machine-learning/) So it would be inaccurate... - Source: Hacker News / about 1 year ago

This is the developer documentation where they advertise the APIs - https://developer.apple.com/machine-learning/. Source: almost 3 years ago

I used https://trainasone.com/ for a bit when I used to run more. Seems like a perfect use for AI. - Source: Hacker News / 9 months ago

I'm currently using trainasone.com to generate my running plan. You can set a race goal or just set a general goal. Since it's adaptive, if you do something else or miss a day it will re-generate what it thinks is the optimal next workout for you. Source: 12 months ago

Hey guys, I got fed up with manually re-creating my workouts from trainasone.com in polar flow each day, so I hacked together a basic automation script at https://github.com/fneu/TrainOnPolar. Source: about 1 year ago

I had been using trainasone.com precisely for that purpose, I guess it’s completely redundant now as Garmin also knows when I haven’t slept well or I’m dead tired and adjusts accordingly. Source: over 1 year ago

I have downloaded a workout training file, .tcx file format, from trainasone.com. This is a workout to be completed today, NOT a previous, historical workout. Source: over 1 year ago