Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Kanishkan Vadivel"'
Autor:
Yingfu Xu, Kevin Shidqi, Gert-Jan van Schaik, Refik Bilgic, Alexandra Dobrita, Shenqi Wang, Roy Meijer, Prithvish Nembhani, Cina Arjmand, Pietro Martinello, Anteneh Gebregiorgis, Said Hamdioui, Paul Detterer, Stefano Traferro, Mario Konijnenburg, Kanishkan Vadivel, Manolis Sifalakis, Guangzhi Tang, Amirreza Yousefzadeh
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
Neuromorphic processors promise low-latency and energy-efficient processing by adopting novel brain-inspired design methodologies. Yet, current neuromorphic solutions still struggle to rival conventional deep learning accelerators' performance and ar
Externí odkaz:
https://doaj.org/article/b9216b9001bd425a90e3fae1a6231a5b
Autor:
Guangzhi Tang, Kanishkan Vadivel, Yingfu Xu, Refik Bilgic, Kevin Shidqi, Paul Detterer, Stefano Traferro, Mario Konijnenburg, Manolis Sifalakis, Gert-Jan van Schaik, Amirreza Yousefzadeh
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Neuromorphic processors aim to emulate the biological principles of the brain to achieve high efficiency with low power consumption. However, the lack of flexibility in most neuromorphic architecture designs results in significant performance loss an
Externí odkaz:
https://doaj.org/article/7fa59a1948cb4dc8abe50ed8ab5f00a5