34 citations · 153 across the 43 of their papers we have counts for
3 papers · 1 filter
RAMAN: A Re-configurable and Sparse tinyML Accelerator for Inference on Edge
Adithya Krishna, Srikanth Rohit Nudurupati, Chandana D G +4
Deep Neural Network (DNN) based inference at the edge is challenging as these compute and data-intensive algorithms need to be implemented at low cost and low power while meeting t…
Neuromorphic Computing with AER using Time-to-Event-Margin Propagation
Madhuvanthi Srivatsav R, Shantanu Chakrabartty, Chetan Singh Thakur
Address-Event-Representation (AER) is a spike-routing protocol that allows the scaling of neuromorphic and spiking neural network (SNN) architectures to a size that is comparable t…
Multiplierless In-filter Computing for tinyML Platforms
Abhishek Ramdas Nair, Pallab Kumar Nath, Shantanu Chakrabartty +1
Wildlife conservation using continuous monitoring of environmental factors and biomedical classification, which generate a vast amount of sensor data, is a challenge due to limited…