Open the box of digital neuromorphic processor: Towards effective algorithm-hardware co-design

Autor: Tang, Guangzhi, Safa, Ali, Shidqi, Kevin, Detterer, Paul, Traferro, Stefano, Konijnenburg, Mario, Sifalakis, Manolis, van Schaik, Gert-Jan, Yousefzadeh, Amirreza

Sparse and event-driven spiking neural network (SNN) algorithms are the ideal candidate solution for energy-efficient edge computing. Yet, with the growing complexity of SNN algorithms, it isn't easy to properly benchmark and optimize their computati

Externí odkaz: http://arxiv.org/abs/2303.15224

Optimizing event-based neural networks on digital neuromorphic architecture: a comprehensive design space exploration.

Autor: Yingfu Xu, Shidqi, Kevin, van Schaik, Gert-Jan, Bilgic, Refik, Dobrita, Alexandra, Shenqi Wang, Meijer, Roy, Nembhani, Prithvish, Arjmand, Cina, Martinello, Pietro, Gebregiorgis, Anteneh, Hamdioui, Said, Detterer, Paul, Traferro, Stefano, Konijnenburg, Mario, Vadivel, Kanishkan, Sifalakis, Manolis, Guangzhi Tang, Yousefzadeh, Amirreza

Publikováno v: Frontiers in Neuroscience; 2024, p1-17, 17p

Benchmarking the Epiphany Processor as a Reference Neuromorphic Architecture

Autor: Molendijk, Maarten, Vadivel, Kanishkan, Corradi, Federico, van Schaik, Gert-Jan, Yousefzadeh, Amirreza, Corporaal, Henk, Vermesan, Ovidiu

Publikováno v: Industrial Artificial Intelligence Technologies and Applications, 21-34
STARTPAGE=21;ENDPAGE=34;TITLE=Industrial Artificial Intelligence Technologies and Applications

This short article explains why the Epiphany architecture is a proper refer- ence for digital large-scale neuromorphic design. We compare the Epiphany architecture with several modern digital neuromorphic processors. We show the result of mapping the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::583f795665cf0331f6008c6c49dac27f
https://research.tue.nl/nl/publications/171a5806-74ab-483f-ae19-871c5142ce32

Using Appreciative Inquiry in a Brainstorming Pressure Cooker for Organisational Change.

Autor: van Schaik, Gert Jan¹ gjvanschaik@kessels-smit.com

Publikováno v: AI Practitioner. May2019, Vol. 21 Issue 2, p34-36. 3p.

A 3.7mW-RX 4.4mW-TX fully integrated Bluetooth Low-Energy/IEEE802.15.4/proprietary SoC with an ADPLL-based fast frequency offset compensation in 40nm CMOS

Autor: Liu, Yao Hong, Bachmann, Christian, Wang, Xiaoyan, Zhang, Yan, Ba, Ao, Busze, Benjamin, Ding, Ming, Harpe, Pieter, van Schaik, Gert Jan, Selimis, Georgios, Giesen, Hans, Gloudemans, Jordy, Sbai, Adnane, Huang, Li, Kato, Hiromu, Dolmans, Guido, Philips, Kathleen, de Groot, Harmke

Publikováno v: Proceedings of the IEEE International Solid-State Circuits Conference, 22-26 Februari 2015, San Francisco, California, 236-237
STARTPAGE=236;ENDPAGE=237;TITLE=Proceedings of the IEEE International Solid-State Circuits Conference, 22-26 Februari 2015, San Francisco, California

This paper presents an ultra-low-power (ULP) fully-integrated Bluetooth Low-Energy(BLE)/IEEE802.15.4/proprietary RF SoC for Internet-of-Things applications. Ubiquitous wireless sensors connected through cellular devices are becoming widely used in ev

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::ef4018bb22193edb03d1308df56da0f1
https://research.tue.nl/nl/publications/dad915de-41d2-4fbf-bccb-8510c5ed7316