Why edge AI is becoming the default for devices
summary
Argues that putting models on-device becomes necessary because users expect always-on AI with low latency and local security and privacy guarantees rather than cloud round trips. Points to concrete platforms: XR ecosystems, smart glasses, and wearable neural sensors that need real-time inference and sensor fusion to work reliably. Claims Arm supplies the silicon and software stack tying these devices together and enabling on-device models to run continuously without cloud dependence.
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