Topic
neural architecture search
PrototypeNAS: Zero-Shot Neural Architecture Search for Microcontroller-Based Edge AI
PrototypeNAS is a zero-shot neural architecture search method that rapidly designs deep neural networks for microcontroller units. It uses a novel three-step search process to compress and specialize DNNs without training from scratch, achieving accuracy comparable to large models in minutes.
Lightweight Hardware-Aware Neural Architecture Search Enables CNNs on Ultra-Low-Power Microcontrollers
A new hardware-aware neural architecture search (HW-NAS) method generates tiny convolutional neural networks (CNNs) suitable for ultra-low-power microcontrollers, using a lightweight search procedure that can execute on embedded devices. Empirical results on three tiny computer vision benchmarks show it preserves state-of-the-art classification accuracy, addressing the power limitations of sensing nodes.
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.