“Researchers introduce Adaptive Hierarchical Compression (AHC), a meta-learning approach that dynamically adjusts feature compression for object detection on memory-constrained microcontrollers (under 100KB). Unlike fixed compression strategies, AHC adapts to evolving task distributions, addressing key challenges like catastrophic forgetting and improving memory efficiency for edge AI deployment.”