Zobrazeno 1 - 10
of 21
pro vyhledávání: '"dopant network processing units"'
Autor:
Ruiz-Euler, Hans-Christian, Alegre-Ibarra, Unai, van de Ven, Bram, Broersma, Hajo, Bobbert, Peter A., van der Wiel, Wilfred G.
The rapidly growing computational demands of deep neural networks require novel hardware designs. Recently, tunable nanoelectronic devices were developed based on hopping electrons through a network of dopant atoms in silicon. These "Dopant Network P
Externí odkaz:
http://arxiv.org/abs/2007.12371
Autor:
B. van de Ven, U. Alegre-Ibarra, P. J. Lemieszczuk, P. A. Bobbert, H.-C. Ruiz Euler, W. G. van der Wiel
Publikováno v:
Frontiers in Nanotechnology, Vol 5 (2023)
Inspired by the highly efficient information processing of the brain, which is based on the chemistry and physics of biological tissue, any material system and its physical properties could in principle be exploited for computation. However, it is no
Externí odkaz:
https://doaj.org/article/584e159aa0a847858bfa1dea7d2d7fd1
Akademický článek
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Akademický článek
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Autor:
Bram van de Ven
Artificial intelligence (AI) is becoming increasingly important in everyday life. It has led to applications such as face recognition and virtual personal assistants in the form of Siri, Alexa and Cortana. AI is even capable of outperforming humans a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41d8f628d24eb0f946da7dd09cdc2fbd
https://doi.org/10.3990/1.9789036553735
https://doi.org/10.3990/1.9789036553735
Autor:
Wilfred G. van der Wiel
Publikováno v:
Proceedings of the Materials, devices and systems for neuromorphic computing 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96f75a1862bcca095f6ebff0f5d7cde7
https://doi.org/10.29363/nanoge.matnec.2022.012
https://doi.org/10.29363/nanoge.matnec.2022.012
Autor:
Ruiz, Hans-Christian, Alegre Ibarra, Unai, van de Ven, Bram, Broersma, Hajo, Bobbert, Peter A., van der Wiel, Wilfred G.
The rapidly growing computational demands of deep neural networks require novel hardware designs. Recently, tunable nanoelectronic devices were developed based on hopping electrons through a network of dopant atoms in silicon. These "Dopant Network P
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::896871bdedc0ef6777b339837d8be585
https://research.utwente.nl/en/publications/745eb23a-2435-413f-a317-090869658acc
https://research.utwente.nl/en/publications/745eb23a-2435-413f-a317-090869658acc
The rapidly growing computational demands of deep neural networks require novel hardware designs. Recently, tunable nanoelectronic devices were developed based on hopping electrons through a network of dopant atoms in silicon. These "Dopant Network P
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dris___00893::25d0cef8f95410c668d8fd6d4d0b0ed6
https://arxiv.org/abs/2007.12371
https://arxiv.org/abs/2007.12371
Autor:
Hans-Christian Ruiz, Unai Alegre Ibarra, Wilfred G. van der Wiel, Hajo Broersma, Bram van de Ven, PA Peter Bobbert
Publikováno v:
Neuromorphic Computing and Engineering, 1(2):024002. Institute of Physics Publishing
The rapidly growing computational demands of deep neural networks require novel hardware designs. Recently, tunable nanoelectronic devices were developed based on hopping electrons through a network of dopant atoms in silicon. These "Dopant Network P
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f91b3dd16ef8bd754cf56e19480ae569
http://arxiv.org/abs/2007.12371
http://arxiv.org/abs/2007.12371
Autor:
Hans-Christian Ruiz Euler, Unai Alegre Ibarra, Bram van de Ven, Hajo Broersma, Peter Bobbert, Wilfred van der Wiel
Publikováno v:
University of Twente Research Information (Pure Portal)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6cba0697b2b6bd8b46267131468b7a1b
https://research.utwente.nl/en/publications/745eb23a-2435-413f-a317-090869658acc
https://research.utwente.nl/en/publications/745eb23a-2435-413f-a317-090869658acc