Artificial Intelligence #hardware-aware#neural architecture search
New Hardware-Aware Neural Architecture Search Runs on Embedded Devices with Under 512MB RAM
Researchers propose a hardware-aware neural architecture search (HW NAS) method that runs on embedded devices with under 512MB of RAM. It produces tiny convolutional neural networks for low-end microcontrollers, enabling on-device AI without cloud dependence. The approach achieves state-of-the-art results on the Visual Wake Word dataset.
Jun 16, 2026 1 source