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Best of Both Worlds: Hybrid SNN-ANN Architecture for Event-based Optical Flow Estimation
This is due to their sparse and asynchronous event outputs.
NAX: Co-Designing Neural Network and Hardware Architecture for Memristive Xbar based Computing Systems
The hardware efficiency (energy, latency and area) as well as application accuracy (considering device and circuit non-idealities) of DNNs mapped to such hardware are co-dependent on network parameters, such as kernel size, depth etc.
Exploration of Optimized Semantic Segmentation Architectures for edge-Deployment on Drones
In this paper, we present an analysis on the impact of network parameters for semantic segmentation architectures in context of UAV data processing.
Methodology for Realizing VMM with Binary RRAM Arrays: Experimental Demonstration of Binarized-ADALINE Using OxRAM Crossbar
Post weight generation the OxRAM array is carefully programmed to binary weight-states using the proposed weight mapping technique on a custom-built testbench.
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