Livrables
The SoA algorithms identified for evaluation of the sensor layer will be evaluated in parallel with the standard video and the sensor layer's images of the evaluation corpus and the relative performance measured formally.
Report describing the task and algorithm chosen in Task 4.2This report will describe the task chosen for the evaluation of the sensor layer including type of data needed annotations metrics SoA algorithms and identified available implementations
Report on the ferroelectric device performance and CMOS integrationThis report will describe the electrical and structural properties of ferroelectric devices and their integration strategies with Si CMOS technology platform
Report describing the task, algorithm and metrics chosen in Task 4.4This report will describe the task chosen for the evaluation of the computational layer including preexisting datasets with annotations metrics SoA algorithms and identified available implementations
Specification of functionalities proposed for the target version of the cortex processor and computational architectures that provide their implementation. Specification of interfaces to other modules and protocols proposed for data exchange.
Evaluation corpusThis corpus will be created and annotated to evaluate the sensor layer, with parallel sensor layer and standard video imaging.
Publications
Auteurs:
Oscar Kaatranen
Publié dans:
2022
Éditeur:
Aaalto University, School of Science
DOI:
10.5281/zenodo.7028135
Auteurs:
Max C. Lemme, Deji Akinwande, Cedric Huyghebaert, Christoph Stampfer
Publié dans:
Nature Communications, 2022, ISSN 2041-1723
Éditeur:
Nature Publishing Group
DOI:
10.1038/s41467-022-29001-4
Auteurs:
Majumdar, Sayani
Publié dans:
Advanced Intelligent Systems, Numéro 4, 2021, ISSN 2640-4567
Éditeur:
Wiley-VCH GmbH
DOI:
10.1002/aisy.202100175
Auteurs:
Sayani Majumdar
Publié dans:
Nanoscale, Numéro 13/25, 2021, Page(s) 11270-11278, ISSN 2040-3364
Éditeur:
Royal Society of Chemistry
DOI:
10.1039/d1nr01722e
Auteurs:
H. Dahlberg, A. Persson, R. Athle, L-E. Wernersson,
Publié dans:
ACS APPLIED ELECTRONIC MATERIALS, Numéro 4, 2022, Page(s) 6357-6363, ISSN 2637-6113
Éditeur:
ACS
DOI:
10.1021/acsaelm.2c01483
Auteurs:
D. Garcia Lesta; O. Pereira Rial; V.M. Brea; P. Lopez; D. Cabello
Publié dans:
2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS), 2022, Page(s) 1-4, ISBN 978-1-6654-8823-5
Éditeur:
IEEE
DOI:
10.1109/icecs202256217.2022.9971111
Auteurs:
H Dahlberg and L-E Wernersson
Publié dans:
ESSDERC 2023, 2023
Éditeur:
IEEE
DOI:
10.1109/essderc59256.2023.10268561
Auteurs:
D. García-Lesta; F. Pardo; O. Pereira-Rial; V.M. Brea; P. López
Publié dans:
2022 IEEE International Symposium of Circuits and Systems (ISCAS 2022), 2022
Éditeur:
IEEE
DOI:
10.5281/zenodo.6980086
Auteurs:
Łuczak, Piotr; Ślot, Krzysztof; Kucharski, Jacek
Publié dans:
2022 International Joint Conference on Neural Networks (IJCNN), 2022
Éditeur:
IEEE
DOI:
10.5281/zenodo.7010008
Auteurs:
Ozan Yakar; Burkay Uzlu; Daniel S. Schneider; Annika Grundmann; Soren Becker; Jan S. Niehaus; Hendrik Schlicke; Michael Heuken; Holger Kalisch; Andrei Vescan; Zhenxing Wang; Max C. Lemme
Publié dans:
Proceedings of the 2022 Device Research Conference (DRC), 2022, Page(s) 1-2, ISBN 978-1-6654-9883-8
Éditeur:
IEEE
DOI:
10.1109/drc55272.2022.9855791
Auteurs:
O. Pereira-Rial, D. García-Lesta, V.M. Brea, P. López, D. Cabello
Publié dans:
2022 IEEE International Symposium of Circuits and Systems (ISCAS 2022), 2022
Éditeur:
IEEE
DOI:
10.5281/zenodo.6821987
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