Topic
edge ai
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.
NVIDIA's GB10 Edge AI Hardware Has No CPU Energy Monitoring, Researchers Find
An arXiv paper reveals that NVIDIA's flagship GB10 edge AI hardware, used in systems from ASUS, Dell, and HP, lacks process-level CPU energy attribution, despite exposing GPU power. The researchers found that MediaTek firmware internally calculates per-rail energy but NVIDIA has no plans to expose it, hampering low-carbon AI operations.
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.