MULTISPECTRAL INTELLIGENT VISION SYSTEM WITH EMBEDDED LOW-POWER NEURAL COMPUTING

Informazioni relative al progetto

MISEL

ID dell’accordo di sovvenzione: 101016734

DOI

10.3030/101016734

Progetto chiuso

Data della firma CE 1 Dicembre 2020

Data di avvio 1 Gennaio 2021

Data di completamento 30 Giugno 2025

Finanziato da

• EXCELLENT SCIENCE - Future and Emerging Technologies (FET)

Costo totale

€ 4 969 451,25

Contributo UE

€ 4 969 451,25

Coordinato da

TEKNOLOGIAN TUTKIMUSKESKUS VTT OY
Finland

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (4)

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

Other (2)

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

Thesis and dissertations (1)

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

Other (1)

Gradient events: improved acquisition of visual information in event cameras

Autori: Lehtonen, Eero; Komulainen, Tuomo; Paasio, Ari; Laiho, Mika
Pubblicato in: Numero 3, 2024
Editore: arXiv
DOI: 10.48550/arxiv.2409.01764

Peer reviewed articles (10)

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

Atomic layer etching of indium tin oxide

Autori: Christoffer Kauppinen
Pubblicato in: Journal of Vacuum Science & Technology A, Numero 42, 2024, ISSN 0734-2101
Editore: American Institute of Physics
DOI: 10.1116/6.0003170

Memory State Dynamics in BEOL FeFETs: Impact of Area Ratio on Analog Write Mechanisms and Charging

Autori: Hannes Dahlberg, Oscar Kaatranen, Karl-Magnus Persson, Arto Rantala, Jacek Flak, Lars-Erik Wernersson
Pubblicato in: IEEE Access, Numero 13, 2025, Pagina/e 9923-9930, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2025.3527628

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

Emerging reconfigurable electronic devices based on two‐dimensional materials: A review

Autori: Wenwen Fei, Jens Trommer, Max Christian Lemme, Thomas Mikolajick, André Heinzig
Pubblicato in: InfoMat, Numero 4, 2024, ISSN 2567-3165
Editore: Wiley
DOI: 10.1002/inf2.12355

Flexible p-Type WSe₂ Transistors with Alumina Top-Gate Dielectric

Autori: Quỳnh Thị Phùng, Lukas Völkel, Agata Piacentini, Ardeshir Esteki, Annika Grundmann, Holger Kalisch, Michael Heuken, Andrei Vescan, Daniel Neumaier, Max C. Lemme, Alwin Daus
Pubblicato in: ACS Applied Materials & Interfaces, Numero 16, 2025, Pagina/e 60541-60547, ISSN 1944-8244
Editore: American Chemical Society
DOI: 10.1021/acsami.4c13296

Graphene-PbS quantum dot hybrid photodetectors from 200 mm wafer scale processing

Autori: Sha Li, Zhenxing Wang, Bianca Robertz, Daniel Neumaier, Oihana Txoperena, Aranzazu Maestre, Amaia Zurutuza, Chris Bower, Ashley Rushton, Yinglin Liu, Chris Harris, Alexander Bessonov, Surama Malik, Mark Allen, Ivonne Medina-Salazar, Tapani Ryhänen, Max C. Lemme
Pubblicato in: Scientific Reports, Numero 15, 2025, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-025-96207-z

Unconventional Photovoltaic Effect in a Perovskite-Coated Metal–Insulator–Graphene Photodiode

Autori: Alexander Löwen, Naveen Kolluru, Zhuang Miao, Christian Tückmantel, Cedric Kreusel, Stefan Janicke, Thomas Riedl, Daniel Neumaier
Pubblicato in: ACS Applied Materials & Interfaces, Numero 17, 2025, Pagina/e 9646-9654, ISSN 1944-8244
Editore: American Chemical Society
DOI: 10.1021/acsami.4c14665

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

Conference proceedings (8)

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

128 × 128 Pixel CMOS Event Camera With Multi-Bit Temporal Difference Event Generation

Autori: Mika Grönroos, Ari Paasio, Mika Laiho
Pubblicato in: 2025 IEEE International Symposium of Circuits and Systems (ISCAS 2025), 2025
Editore: IEEE
DOI: 10.5281/zenodo.16948453

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

Multi-Level Analog Computing-In-Memory FeFET-based Unit Cell for Deep Learning

Autori: Ó. Pereira-Rial, H. Dahlberg, D. García-Lesta, V.M. Brea, P. López, D. Cabello, L.-E. Wernersson
Pubblicato in: 2025 IEEE International Symposium of Circuits and Systems (ISCAS 2025), 2025
Editore: IEEE
DOI: 10.5281/zenodo.16970244

MoS₂/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: 10.1109/ISCAS48785.2022.9937766