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Apple's failed self-driving car program led to the development of the Neural Engine and powerful on-device AI chips, which now underpin Apple's AI hardware strategy, including upcoming M7 chips with significant Neural Engine upgrades.
Apple Silicon exec Doug Brooks explains the surging demand for Mac mini and Mac Studio for AI agent workloads, highlights Apple's chip design philosophy integrating neural engines, and discusses the shift toward on-device AI for privacy and cost reasons while envisioning a hybrid future.
This paper presents a reverse-engineered account of Apple Neural Engine (ANE) architecture, programming, and performance across A11-A18 and M1-M5 chips, based on direct measurements and static analysis.
Apple announces RAW 9 for Core Image, a significant update that uses a tiled CoreML model combining demosaic and denoise on the Apple Neural Engine for dramatically improved RAW image quality across Apple platforms.
Benchmark shows local Stable Diffusion 1.5 on iPhone can generate 512x512 images in as little as 3.1 seconds using optimized models like Realistic Vision V5.1 Hyper, making on-device AI image generation practical.