3 citations · 4 across the 5 of their papers we have counts for
5 papers
Guidance and Control Neural Network Acceleration using Memristors
Zacharia A. Rudge, Dario Izzo, Moritz Fieback +3
In recent years, the space community has been exploring the possibilities of Artificial Intelligence (AI), specifically Artificial Neural Networks (ANNs), for a variety of on board…
SpikeFI: A Fault Injection Framework for Spiking Neural Networks
Theofilos Spyrou, Said Hamdioui, Haralampos-G. Stratigopoulos
Neuromorphic computing and spiking neural networks (SNNs) are gaining traction across various artificial intelligence (AI) tasks thanks to their potential for efficient energy usag…
Energy-efficient SNN Architecture using 3nm FinFET Multiport SRAM-based CIM with Online Learning
Lucas Huijbregts, Liu Hsiao-Hsuan, Paul Detterer +3
Current Artificial Intelligence (AI) computation systems face challenges, primarily from the memory-wall issue, limiting overall system-level performance, especially for Edge devic…
EON-1: A Brain-Inspired Processor for Near-Sensor Extreme Edge Online Feature Extraction
Alexandra Dobrita, Amirreza Yousefzadeh, Simon Thorpe +8
For Edge AI applications, deploying online learning and adaptation on resource-constrained embedded devices can deal with fast sensor-generated streams of data in changing environm…
A Lightweight Architecture for Real-Time Neuronal-Spike Classification
Muhammad Ali Siddiqi, David Vrijenhoek, Lennart P. L. Landsmeer +6
Electrophysiological recordings of neural activity in a mouse's brain are very popular among neuroscientists for understanding brain function. One particular area of interest is ac…