most citedAnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On Analog Compute-in-Memory Accelerator

8 citations · 8 across the 1 of their papers we have counts for

collaborators

1 paper

cs.AR2021★ 8 cited

AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On Analog Compute-in-Memory Accelerator

Chuteng Zhou, Fernando Garcia Redondo, Julian Büchel +7

Always-on TinyML perception tasks in IoT applications require very high energy efficiency. Analog compute-in-memory (CiM) using non-volatile memory (NVM) promises high efficiency a…