~/talk

The impact of smart wearables

Talkat CES 2026 · 2026-01-06..01-09· [machine-learning, embedded-and-hardware]
links:none on file
slides:none on file

Claims that edge AI and ultra-low-power computing let full AI inference run on tiny devices so smart glasses and next-generation health devices deliver continuous, on-body insights without cloud latency. Argues this requires a different chip and software stack centered on energy-first ML, cites Arm’s platform work enabling always-on sensors, tiny models, and system-level power management to keep devices small, comfortable, and functional throughout a normal day.

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