Engineering AI on Apple Silicon: Unified Memory, Metal Compute, MLX, and Core ML for On-Device Intelligence

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Pages: 298, Paperback, Independently published

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Tiny but Mighty: Edge AI Engineering: Quantization, Pruning, and On-Device ML for Embedded Systems

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the Second Silicon Winter: Why Memory, Not Compute, Shapes Future of AI and Autonomy

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On-Device AI: ML Foundations for iOS Developers

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