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CORDIS - Risultati della ricerca dell’UE
CORDIS

MULTISPECTRAL INTELLIGENT VISION SYSTEM WITH EMBEDDED LOW-POWER NEURAL COMPUTING

Risultati finali

Evaluation report for the perception layer

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 4.2

This 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 integration

This 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 4.4

This 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

Cortex processor computational architecture for the WAFER2 run

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 corpus

This corpus will be created and annotated to evaluate the sensor layer, with parallel sensor layer and standard video imaging.

Pubblicazioni

Performance of Ferroelectric Tunnel Junctions on Crossbar Array Circuits

Autori: Oscar Kaatranen
Pubblicato in: 2022
Editore: Aaalto University, School of Science
DOI: 10.5281/zenodo.7028135

2D materials for future heterogeneous electronics

Autori: Max C. Lemme, Deji Akinwande, Cedric Huyghebaert, Christoph Stampfer
Pubblicato in: Nature Communications, 2022, ISSN 2041-1723
Editore: Nature Publishing Group
DOI: 10.1038/s41467-022-29001-4

Back-End CMOS Compatible and Flexible Ferroelectric Memories for Neuromorphic Computing and Adaptive Sensing

Autori: Majumdar, Sayani
Pubblicato in: Advanced Intelligent Systems, Numero 4, 2021, ISSN 2640-4567
Editore: Wiley-VCH GmbH
DOI: 10.1002/aisy.202100175

Ultrafast switching and linear conductance modulation in ferroelectric tunnel junctions via P(VDF-TrFE) morphology control

Autori: Sayani Majumdar
Pubblicato in: Nanoscale, Numero 13/25, 2021, Pagina/e 11270-11278, ISSN 2040-3364
Editore: Royal Society of Chemistry
DOI: 10.1039/d1nr01722e

Ferroelectric-Antiferroelectric Transition of Hf1-XZrXO2 on Indium Arsenide with Enhanced Ferroelectric Characteristics for Hf0.2Zr0.8O2

Autori: H. Dahlberg, A. Persson, R. Athle, L-E. Wernersson,
Pubblicato in: ACS APPLIED ELECTRONIC MATERIALS, Numero 4, 2022, Pagina/e 6357-6363, ISSN 2637-6113
Editore: ACS
DOI: 10.1021/acsaelm.2c01483

A General-Purpose CMOS Vision Sensor with In-Pixel 5-bit Convolutional Layer Computation

Autori: D. Garcia Lesta; O. Pereira Rial; V.M. Brea; P. Lopez; D. Cabello
Pubblicato in: 2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS), 2022, Pagina/e 1-4, ISBN 978-1-6654-8823-5
Editore: IEEE
DOI: 10.1109/icecs202256217.2022.9971111

Dynamics of Polarization Switching in Mixed Phase Ferroelectric-Antiferroelectric HZO Thin Films

Autori: H Dahlberg and L-E Wernersson
Pubblicato in: ESSDERC 2023, 2023
Editore: IEEE
DOI: 10.1109/essderc59256.2023.10268561

HDC8192: A General Purpose Mixed-Signal CMOS Architecture for Massively Parallel Hyperdimensional Computing

Autori: D. García-Lesta; F. Pardo; O. Pereira-Rial; V.M. Brea; P. López
Pubblicato in: 2022 IEEE International Symposium of Circuits and Systems (ISCAS 2022), 2022
Editore: IEEE
DOI: 10.5281/zenodo.6980086

Combining Deep Convolutional Feature Extraction with Hyperdimensional Computing for Visual Object Recognition

Autori: Łuczak, Piotr; Ślot, Krzysztof; Kucharski, Jacek
Pubblicato in: 2022 International Joint Conference on Neural Networks (IJCNN), 2022
Editore: IEEE
DOI: 10.5281/zenodo.7010008

MoS<sub>2</sub>/Quantum Dot Hybrid Photodetectors on Flexible Substrates

Autori: 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
Pubblicato in: Proceedings of the 2022 Device Research Conference (DRC), 2022, Pagina/e 1-2, ISBN 978-1-6654-9883-8
Editore: IEEE
DOI: 10.1109/drc55272.2022.9855791

Design of a 5-bit Signed SRAM-based In-Memory Computing Cell for Deep Learning Models

Autori: O. Pereira-Rial, D. García-Lesta, V.M. Brea, P. López, D. Cabello
Pubblicato in: 2022 IEEE International Symposium of Circuits and Systems (ISCAS 2022), 2022
Editore: IEEE
DOI: 10.5281/zenodo.6821987

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