Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Florian Kelber"'
Autor:
Jiaxin Huang, Florian Kelber, Bernhard Vogginger, Chen Liu, Felix Kreutz, Pascal Gerhards, Daniel Scholz, Klaus Knobloch, Christian G. Mayr
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
The potential low-energy feature of the spiking neural network (SNN) engages the attention of the AI community. Only CPU-involved SNN processing inevitably results in an inherently long temporal span in the cases of large models and massive datasets.
Externí odkaz:
https://doaj.org/article/be23ec7cd7a94763b1a20d1a0b9adc29
Autor:
Hector A. Gonzalez, Bernhard Vogginger, Chen Liu, Marco Stolba, Florian Kelber, Heiner Bauer, Stefan Hänzsche, Stefan Scholze, Marc Berthel, Tim Rosmeisl, Liyuan Guo, Dennis Walter, Piash Das, Khaleelulla Khan, Tilo Schubert, Sebastian Höppner, Christian Mayr
Publikováno v:
2023 IEEE Custom Integrated Circuits Conference (CICC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e5673ec56028d7d92c1024544c64c15
https://doi.org/10.1109/cicc57935.2023.10121258
https://doi.org/10.1109/cicc57935.2023.10121258
Publikováno v:
2022 26th International Conference on Pattern Recognition (ICPR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58204585f1d740f16cdb6763203d846d
https://doi.org/10.1109/icpr56361.2022.9955643
https://doi.org/10.1109/icpr56361.2022.9955643
Autor:
Jiaxin Huang, Bernhard Vogginger, Pascal Gerhards, Felix Kreutz, Florian Kelber, Daniel Scholz, Klaus Knobloch, Christian Georg Mayr
Publikováno v:
2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ecb77ff59e3ff201b35877eeb501a54
https://doi.org/10.1109/aicas54282.2022.9869987
https://doi.org/10.1109/aicas54282.2022.9869987
Autor:
Seyed Mohammad Ali Zeinolabedin, Franz Marcus Schuffny, Richard George, Florian Kelber, Heiner Bauer, Stefan Scholze, Stefan Hanzsche, Marco Stolba, Andreas Dixius, Georg Ellguth, Dennis Walter, Sebastian Hoppner, Christian Mayr
Publikováno v:
IEEE Transactions on Biomedical Circuits and Systems
With the advent of high-density micro-electrodes arrays, developing neural probes satisfying the real-time and stringent power-efficiency requirements becomes more challenging. A smart neural probe is an essential device in future neuroscientific res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70db0c9b211ee540d418ffc3f0d944c8
Autor:
Felix Neumarker, Dennis Walter, Stephan Hartmann, Christian Mayr, Leon Urbas, Georg Ellguth, Florian Kelber, Zohra Charania, M. Berthel, Chris Paul Iatrou, Andreas Dixius, Sebastian Hoppner, Johannes Uhlig, Heiner Bauer, Saif Ur Rehman, Marco Stolba
Industrial plants suffer from a high degree of complexity and incompatibility in their communication infrastructure, caused by a wild mix of proprietary technologies. This prevents transformation towards Industry 4.0 and the Industrial Internet of Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::392f3167f04512ac481ba74699eb57e4
http://arxiv.org/abs/2105.00789
http://arxiv.org/abs/2105.00789
Autor:
Chen Liu, Marco Stolba, Christian Mayr, Stefan Hanzsche, Hector A. Gonzalez, Bernhard Vogginger, Sebastian Hoppner, Florian Kelber, Stefan Scholze
Publikováno v:
ISCAS
The increasing density of Multiple-Input Multiple-Output (MIMO) arrays in imaging radars for the automotive industry demands highly parallel systems with low-footprint accelerators, which would enable the concurrent processing of a high number of vir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75e60ce67c935e5c79b8e0f8661a4239
https://doi.org/10.1109/iscas51556.2021.9401547
https://doi.org/10.1109/iscas51556.2021.9401547
Autor:
Andreas Dixius, Christian Mayr, Jim Garside, Stefan Scholze, Steve Furber, Felix Neumarker, Michael Hopkins, Johannes Partzsch, Marco Stolba, Florian Kelber, Dongwei Hu, Delong Shang, Mantas Mikaitis, David Clark, Stefan Schiefer, Gengting Liu, Sebastian Hoppner
Publikováno v:
Clark, D, Dixius, A, Furber, S, Garside, J, Hopkins, M, Höppner, S, Hu, D, Kelber, F, Liu, G, Mayr, C, Mikaitis, M, Neumärker, F, Partzsch, J, Schiefer, S, Scholze, S, Shang, D & Stolba, M 2020, Creating the Future . in S Furber & P Bogdan (eds), SpiNNaker : A Spiking Neural Network Architecture . Now Publishers Inc, Boston-Delft, pp. 266-284 . https://doi.org/10.1561/9781680836530.ch8
In this chapter, we take a look into the future of this technology. First we survey interesting developments in hardware accelerators for SNNs and ANNs, but then we focus primarily on the second-generation SpiNNaker developments. Here we will refer t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::861ec8994d16457c4377761db8b61944
https://doi.org/10.1561/9781680836530.ch8
https://doi.org/10.1561/9781680836530.ch8
Autor:
Christian Mayr, Binyi Wu, Johannes Partzsch, Bernhard Vogginger, Florian Kelber, Marco Stolba, Chen Liu
Publikováno v:
NICE
Proceedings of the Neuro-inspired Computational Elements Workshop
Proceedings of the Neuro-inspired Computational Elements Workshop
SpiNNaker is an efficient many-core architecture for the real-time simulation of spiking neural networks. To also speed up deep neural networks (DNNs), the 2nd generation SpiNNaker2 will contain dedicated DNN accelerators in each processing element.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e4644b8207eeb61bf5268c59225c678
https://doi.org/10.1145/3381755.3381778
https://doi.org/10.1145/3381755.3381778
Autor:
Marco Stolba, Delong Shang, Stefan Scholze, Stefan Schiefer, Johannes Partzsch, Felix Neumärker, Mantas Mikaitis, Christian Mayr, Gengting Liu, Florian Kelber, Dongwei Hu, Sebastian Höppner, Michael Hopkins, Jim Garside, Steve Furber, Andreas Dixius, Dave Clark
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b0742d82e67cf0b8c8b6f22ba225db9
https://doi.org/10.1561/9781680836523.ch8
https://doi.org/10.1561/9781680836523.ch8