Topic
embedded systems
Artificial Intelligence #prototypenas#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.
Jun 20, 2026 1 source
Artificial Intelligence #edge computing#ai
RAMS: Resource-Adaptive Model Switching for Embedded Edge Perception Under Load
Researchers present RAMS, a runtime controller that monitors device pressure and dynamically selects among three YOLOv8 tiers on embedded hardware, achieving up to 5.6x faster inference than a fixed medium model while retaining 74% of its accuracy. The system introduces a detection-conditioned switching policy and a new scalar metric, SWAS, for offline policy comparison.
Jun 16, 2026 1 source