# ML-HW Co-Design of Noise-Robust TinyML Models and Always-On Analog Compute-in-Memory Edge Accelerator

> Research article (IEEE Micro, 2022) · cited 29× · AI/ML

**Wikidata**: [openalex:W4292387453](https://www.wikidata.org/wiki/openalex:W4292387453)  
**Source**: https://4ort.xyz/entity/ml-hw-co-design-of-noise-robust-tinyml-models-and-always-on-analog-compute-in-memory-edge-accelerator
