73 citations · 495 across the 39 of their papers we have counts for
4 papers · 1 filter
Mantis: Enabling Energy-Efficient Autonomous Mobile Agents with Spiking Neural Networks
Rachmad Vidya Wicaksana Putra, Muhammad Shafique
Autonomous mobile agents such as unmanned aerial vehicles (UAVs) and mobile robots have shown huge potential for improving human productivity. These mobile agents require low power…
tinySNN: Towards Memory- and Energy-Efficient Spiking Neural Networks
Rachmad Vidya Wicaksana Putra, Muhammad Shafique
Larger Spiking Neural Network (SNN) models are typically favorable as they can offer higher accuracy. However, employing such models on the resource- and energy-constrained embedde…
lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous Agents
Rachmad Vidya Wicaksana Putra, Muhammad Shafique
Recent advances have shown that SNN-based systems can efficiently perform unsupervised continual learning due to their bio-plausible learning rule, e.g., Spike-Timing-Dependent Pla…
SoftSNN: Low-Cost Fault Tolerance for Spiking Neural Network Accelerators under Soft Errors
Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique
Specialized hardware accelerators have been designed and employed to maximize the performance efficiency of Spiking Neural Networks (SNNs). However, such accelerators are vulnerabl…