Zobrazeno 1 - 10
of 3 396
pro vyhledávání: '"Charbonnier P"'
Autor:
Hejda, Matěj, Marchesin, Federico, Papadimitriou, George, Gizopoulos, Dimitris, Charbonnier, Benoit, Orobtchouk, Régis, Bienstman, Peter, Van Vaerenbergh, Thomas, Pavanello, Fabio
In this work, we discuss our vision for neuromorphic accelerators based on integrated photonics within the framework of the Horizon Europe NEUROPULS project. Augmented integrated photonic architectures that leverage phase-change and III-V materials f
Externí odkaz:
http://arxiv.org/abs/2407.06240
Traditional DRAM-based main memory systems face several challenges with memory refresh overhead, high latency, and low throughput as the industry moves towards smaller DRAM cells. These issues have been exacerbated by the emergence of data-intensive
Externí odkaz:
http://arxiv.org/abs/2311.08566
In this paper, we present the Home Electricity Data Generator (HEDGE), an open-access tool for the random generation of realistic residential energy data. HEDGE generates realistic daily profiles of residential PV generation, household electric loads
Externí odkaz:
http://arxiv.org/abs/2310.01661
Publikováno v:
Sci Rep. 2023 Aug 29;13(1):14147
Accurate identification of emphysema subtypes and severity is crucial for effective management of COPD and the study of disease heterogeneity. Manual analysis of emphysema subtypes and severity is laborious and subjective. To address this challenge,
Externí odkaz:
http://arxiv.org/abs/2309.02576
We present an optimized Mach-Zehnder Interferometer (MZI) with phase change materials for photonic neural networks (PNNs). With 0.2 dB loss, -38 dB crosstalk, and length of 52 micrometer, the designed MZI significantly improves the scalability and ac
Externí odkaz:
http://arxiv.org/abs/2309.06579
This paper investigates how deep multi-agent reinforcement learning can enable the scalable and privacy-preserving coordination of residential energy flexibility. The coordination of distributed resources such as electric vehicles and heating will be
Externí odkaz:
http://arxiv.org/abs/2305.18875
Autor:
Pavanello, Fabio, Marchand, Cedric, O'Connor, Ian, Orobtchouk, Regis, Mandorlo, Fabien, Letartre, Xavier, Cueff, Sebastien, Vatajelu, Elena Ioana, Di Natale, Giorgio, Cluzel, Benoit, Coillet, Aurelien, Charbonnier, Benoit, Noe, Pierre, Kavan, Frantisek, Zoldak, Martin, Szaj, Michal, Bienstman, Peter, Van Vaerenbergh, Thomas, Ruhrmair, Ulrich, Flores, Paulo, Silva, Luis Guerra e, Chaves, Ricardo, Silveira, Luis-Miguel, Ceccato, Mariano, Gizopoulos, Dimitris, Papadimitriou, George, Karakostas, Vasileios, Brando, Axel, Cazorla, Francisco J., Canal, Ramon, Closas, Pau, Gusi-Amigo, Adria, Crovetti, Paolo, Carpegna, Alessio, Carmona, Tzamn Melendez, Di Carlo, Stefano, Savino, Alessandro
Publikováno v:
IEEE European Test Symposium 2023
This special session paper introduces the Horizon Europe NEUROPULS project, which targets the development of secure and energy-efficient RISC-V interfaced neuromorphic accelerators using augmented silicon photonics technology. Our approach aims to de
Externí odkaz:
http://arxiv.org/abs/2305.03139
Autor:
Pavanello, Fabio, Vatajelu, Elena Ioana, Bosio, Alberto, Van Vaerenbergh, Thomas, Bienstman, Peter, Charbonnier, Benoit, Carpegna, Alessio, Di Carlo, Stefano, Savino, Alessandro
Publikováno v:
2023 IEEE 41st VLSI Test Symposium (VTS)
The field of neuromorphic computing has been rapidly evolving in recent years, with an increasing focus on hardware design and reliability. This special session paper provides an overview of the recent developments in neuromorphic computing, focusing
Externí odkaz:
http://arxiv.org/abs/2305.01818
Autor:
Robert M. X. Wu, Niusha Shafiabady, Huan Zhang, Haiyan Lu, Ergun Gide, Jinrong Liu, Clement Franck Benoit Charbonnier
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract This research aims to explore more efficient machine learning (ML) algorithms with better performance for short-term forecasting. Up-to-date literature shows a lack of research on selecting practical ML algorithms for short-term forecasting
Externí odkaz:
https://doaj.org/article/feb2fb15481d4eb7889075c3146c295a
Autor:
Touya Nicolas, Reiss Ségolène, Rouillon Thierry, Dutilleul Maeva, Veziers Joelle, Pare Arnaud, Brasset Ludmila, Weiss Pierre, Corre Pierre, Charbonnier Baptiste
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract The development of synthetic bone substitutes that equal or exceed the efficacy of autologous graft remains challenging. In this study, a rat calvarial defect model was used as a reference to investigate the influence of composition and arch
Externí odkaz:
https://doaj.org/article/b0a1d26b4f004e45bed68b793f8fb87b