Zobrazeno 1 - 10
of 145 822
pro vyhledávání: '"event driven"'
Autor:
Chan, Curtis1 (AUTHOR) cchan@kirby.unsw.edu.au, Holt, Martin2 (AUTHOR), Smith, Anthony K. J.2 (AUTHOR), Broady, Timothy R.2 (AUTHOR), MacGibbon, James2 (AUTHOR), Mao, Limin2 (AUTHOR), Wilcock, Ben3 (AUTHOR), Rule, John4 (AUTHOR), Bavinton, Benjamin R.1 (AUTHOR)
Publikováno v:
Journal of the International AIDS Society. Nov2024, Vol. 27 Issue 11, p1-7. 7p.
Publikováno v:
Design, Automation and Test in Europe Conference 2025
Spiking Neural Networks (SNNs) offer potential advantages in energy efficiency but currently trail Artificial Neural Networks (ANNs) in versatility, largely due to challenges in efficient input encoding. Recent work shows that direct coding achieves
Externí odkaz:
http://arxiv.org/abs/2411.15409
Autor:
Friederich, Nils, Sitcheu, Angelo Jovin Yamachui, Nassal, Annika, Pesch, Matthias, Yildiz, Erenus, Beichter, Maximilian, Scholtes, Lukas, Akbaba, Bahar, Lautenschlager, Thomas, Neumann, Oliver, Kohlheyer, Dietrich, Scharr, Hanno, Seiffarth, Johannes, Nöh, Katharina, Mikut, Ralf
Microfluidic Live-Cell Imaging (MLCI) generates high-quality data that allows biotechnologists to study cellular growth dynamics in detail. However, obtaining these continuous data over extended periods is challenging, particularly in achieving accur
Externí odkaz:
http://arxiv.org/abs/2411.05030
This paper presents a mixed-signal neuromorphic accelerator architecture designed for accelerating inference with event-based neural network models. This fully CMOS-compatible accelerator utilizes analog computing to emulate synapse and neuron operat
Externí odkaz:
http://arxiv.org/abs/2410.08403
Autor:
Zheng, Peng, Zhou, Qian
Spiking Neural Networks (SNNs) are well-suited for processing event streams from Dynamic Visual Sensors (DVSs) due to their use of sparse spike-based coding and asynchronous event-driven computation. To extract features from DVS objects, SNNs commonl
Externí odkaz:
http://arxiv.org/abs/2409.12691