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PrismML demonstrates 1-bit quantized AI inference on edge devices, achieving 4x memory footprint reduction for smart-glasses deployment.
On-device 1-bit AI reduces memory and power consumption, enabling AI inference on resource-constrained edge hardware and broadening the addressable market for AI-capable devices beyond cloud datacenters.
Trade pressSlicast · September 27, 2026 at 16:03 UTC · US · Source: shattered.io
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