Embedded event based object detection with spiking neural network

J Courtois, PE Novac, E Lemaire, A Pegatoquet… - arXiv preprint arXiv …, 2024 - arxiv.org
The complexity of event-based object detection (OD) poses considerable challenges.
Spiking Neural Networks (SNNs) show promising results and pave the way for efficient event …

SpikeExplorer: Hardware-Oriented Design Space Exploration for Spiking Neural Networks on FPGA

D Padovano, A Carpegna, A Savino, S Di Carlo - Electronics, 2024 - mdpi.com
One of today's main concerns is to bring artificial intelligence capabilities to embedded
systems for edge applications. The hardware resources and power consumption required by …

FTBC: Forward Temporal Bias Correction for Optimizing ANN-SNN Conversion

X Wu, V Bojkovic, B Gu, K Suo, K Zou - arXiv preprint arXiv:2403.18388, 2024 - arxiv.org
Spiking Neural Networks (SNNs) offer a promising avenue for energy-efficient computing
compared with Artificial Neural Networks (ANNs), closely mirroring biological neural …

SpikExplorer: a tool for Design Space Exploration of Spiking Neural Network Architecture

D Padovano - 2024 - webthesis.biblio.polito.it
SpikExplorer: a tool for Design Space Exploration of Spiking Neural Network Architecture
We live in the age of artificial intelligence, where high level abstractions of human brain …