Zobrazeno 1 - 10
of 89
pro vyhledávání: '"Martin A. Trefzer"'
Publikováno v:
IET Computers & Digital Techniques, Vol 17, Iss 3-4, Pp 180-194 (2023)
Abstract Modern electronic design automation (EDA) tools can handle the complexity of state‐of‐the‐art electronic systems by decomposing them into smaller blocks or cells, introducing different levels of abstraction and staged design flows. How
Externí odkaz:
https://doaj.org/article/7f6aeb0eaecd4d49b22e8b0117bd3332
Publikováno v:
Unconventional Computation and Natural Computation ISBN: 9783031340338
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6708aa488269aa25ecfa7da09cb5d4f
https://doi.org/10.1007/978-3-031-34034-5_13
https://doi.org/10.1007/978-3-031-34034-5_13
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::353c24d8e94732c4c1d590eb02b2ae75
https://doi.org/10.1109/ijcnn55064.2022.9892201
https://doi.org/10.1109/ijcnn55064.2022.9892201
Publikováno v:
Natural Computing. 20:205-216
We explore the effect of connectivity and topology on the dynamical behaviour of Reservoir Computers. At present, considerable effort is taken to design and hand-craft physical reservoir computers. Both structure and physical complexity are often piv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6729dfdecb983ca3c9d199dba0bd3c0a
https://doi.org/10.1007/s11047-020-09823-1
https://doi.org/10.1007/s11047-020-09823-1
Publikováno v:
2021 IEEE Symposium Series on Computational Intelligence (SSCI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c473158bba7ec9464c31cb8f8f66ed5e
https://doi.org/10.1109/ssci50451.2021.9660137
https://doi.org/10.1109/ssci50451.2021.9660137
Publikováno v:
2021 IEEE Symposium Series on Computational Intelligence (SSCI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9dbb961e2709857d79ef80ebb98b196
https://doi.org/10.1109/ssci50451.2021.9659887
https://doi.org/10.1109/ssci50451.2021.9659887
To tackle the complexity of state-of-the-art electronic systems, silicon foundries continuously shrink the technology nodes and electronic design automation (EDA) vendors offer hierarchical design flows to decompose systems into smaller blocks. Howev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6f1a12a330ef91bab58659df7b7115c
http://arxiv.org/abs/2105.11248
http://arxiv.org/abs/2105.11248
Publikováno v:
DATE
Fabrication issues throttle VLSI designs with pessimistic design constraints and speed-grade device binning necessary to avoid failure of devices. We propose that a on chip monitoring system (a Nervous System) can reduce this margin by automatically
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bc6cef880a3afc8e8353d8032cc71be
https://doi.org/10.23919/date51398.2021.9474251
https://doi.org/10.23919/date51398.2021.9474251
Publikováno v:
Unconventional Computation and Natural Computation ISBN: 9783030879921
UCNC
UCNC
Inspired by the nonlinear dynamics of neural networks, new unconventional computing hardware has emerged under the name of physical reservoir computing. In this paradigm, an input-driven dynamical system (the reservoir) is exploited and trained to pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09de79cc675bf75ab66f4552800ddcb2
https://doi.org/10.1007/978-3-030-87993-8_2
https://doi.org/10.1007/978-3-030-87993-8_2
Publikováno v:
Natural Computing Series ISBN: 9789811316869
We overview Reservoir Computing (RC) with physical systems from an Unconventional Computing (UC) perspective. We discuss challenges present in both fields, including encoding and representation, or how to manipulate and read information; ways to sear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1299918fb4809bb2c0c5d43d41c0def8
https://doi.org/10.1007/978-981-13-1687-6_7
https://doi.org/10.1007/978-981-13-1687-6_7