Core ML (on-device inference, iOS 26)

Load and run trained ML models on device with the Neural Engine / GPU / CPU. Core ML is the inference & fine-tune runtime — it does not convert or train models from scratch.

• Runtime choice / model conversion: picking Core ML vs Foundation Models vs MLX, or converting a PyTorch/TF model with coremltools → apple-on-device-ai.
• Image analysis (OCR, barcodes, faces, saliency): Vision's own requests → vision-framework. Use Core ML directly only for your custom model.
• KMP boundary: keep the model + prediction in iosMain; expose a commonMain interface Classifier and bind an actual. Marshal plain types (arrays, floats) across — never a Core ML object. See expect-actual, kmp-ios-integration.

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