71 citations · 90 across the 10 of their papers we have counts for
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cs.NE2022★ 17 cited
Hardware/Software co-design with ADC-Less In-memory Computing Hardware for Spiking Neural Networks
Marco Paul E. Apolinario, Adarsh Kumar Kosta, Utkarsh Saxena +1
Spiking Neural Networks (SNNs) are bio-plausible models that hold great potential for realizing energy-efficient implementations of sequential tasks on resource-constrained edge de…
cs.NE2019
On-chip learning in a conventional silicon MOSFET based Analog Hardware Neural Network
Nilabjo Dey, Janak Sharda, Utkarsh Saxena +3
On-chip learning in a crossbar array based analog hardware Neural Network (NN) has been shown to have major advantages in terms of speed and energy compared to training NN on a tra…