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02/16/2023
Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators
Analog in-memory computing (AIMC) – a promising approach for energy-effi...
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11/10/2021
AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On Analog Compute-in-Memory Accelerator
Always-on TinyML perception tasks in IoT applications require very high ...
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05/28/2019
