Artificial Intelligence for Digitizing Industry

Rezultaty

Report on HW/SW partitioning and sub-system level key architecture designs (initial report)

T22 Focus is on subsystem level designs and key architectures including AIbased solutions feasible for the use cases Analysis of AI methods and contribution to improve the design flow

Functional requirement and specifications of machinery and industrial equipment

[T1.4] The partners will create a report describing definitions of requirements for a robotic arm, object recognition, sensitive robot skins, and contactless human-machine interaction.

AI for digitizing industry road-mapping requirements

T11 The first report based on the findings from the deliverable D11 presenting the future trends of AI research and innovation and the proposed requirements for roadmap for the AI activities in digitizing industry including analyzing societal and technological challenges trends

Report on IIoT/AI enabled system level platforms

T24 Focus is on system platform integration and interoperability between the underlying platforms Defining conceptual design and interfacing of manufacturing IIoTAI based platforms including integration of AI embedded platforms and AI training platforms integrating the digitizing industry cyberphysical systems CPSs with efficiently use of multiaccess edge computing MEC

Requirements for silicon package fault detection and wafer inspection

[T1.3] In this report, the partners provide a report describing requirements for different approaches on silicon package fault detection and wafer inspection. This includes wafer visual inspection requirements, design of an imaging geometry, an analysis of silicon package fault detection and the AI relevant data structures.

Report on safe and secure end-to-end design methodologies for AI embedded in industrial processes and applications

T25 Reliable communication is required for cooperative functionality Focus is on IIoT low latency communication and distributed sensing and edge computing Environmental aspects for harsh environments will also be covered

Report on HW/SW partitioning and sub-system level key architecture designs (final report)

T22 Focus is on subsystem level designs and key architectures including AIbased solutions feasible for the use cases Analysis of AI methods and contribution to improve the design flow

Requirements for learning systems

[T1.4] In this report the requirements for the implementations of learning systems are described.

Report on hybrid reference system level architecture design for the digitizing industry

T21 Focus is on highlevel AI based system architectures for digitizing industry sectors Different building blocks functions interactions and workflows will be defined based on IIoTAI solutions for seamless integration and scalability

Functional and non-functional requirements for smart robots

[T1.4] The partners will create a report describing definitions of requirements for a robotic arm, object recognition, sensitive robot skins, and contactless human-machine interaction.

Workshop on AI requirements for digitizing industry

[T1.1] Workshop organized with AI stakeholders (ECSEL and external) involved in digitizing industry. The workshop format is organized as a combination of experts’ key notes and brainstorm sessions to discuss the content of AI requirements for digitizing industry, the criteria of selection and present findings from market research reports and questionnaires.

Requirements for autonomous reconfigurable battery systems

[T1.2] A report is created describing the requirements of intelligent energy storage systems.

Final plan and report for use and dissemination of the foreground

T71 T72 Document outlining how the projects aims and results were communicated to the broader public and disseminated within research and industry communities and outlining the path towards commercialization of results after the end of the project

Definition of requirements for AI in transportation

[T1.6] In this report the specifications of AI based AI based MaaS operation concepts and distributed data pipelines are provided.

Report on standardization activities (2nd version)

T73 Document outlining projects standardization strategy and partners standardization efforts in period 2

Report on European ecosystem building and initiatives clustering

T85 This deliverable will provide the achievements in the attempts of making connections with other projects stakeholders and institutions dealing with AI related tasks The synergies as well as complementary tasks will be searched for and monitored so as to provide there clear view on AI roadmapping from the worldwide perspective with the focus on needs of European industry

Definition of real time predictive maintenance

T12 This report will provide data definitions and requirements for realtime predictive maintenance based on knowledge and modelbased reasoning Also a specification for electrical drive diagnostics and requirements for an IoT device enabling humanmachine interaction and change detection are described

Specification of AI supported automotive logistics processes and robotic controlled cell manufacturing

[T1.2] Related to the state of the art and science in this report the specification is presented on the concrete processes of control of logistic systems and robot supporting work systems within the factory. Derived from this, the synergies with other industries and the outlook for the further development of hardware software and method requirements are evaluated.

Final report on standardization activities

T73 Document outlining projects standardization strategy and partners standardization efforts in period 3 This is the final standardization report

Report on standardization activities (1st version)

[T7.3] Document outlining project’s standardization strategy and partners’ standardization efforts in period 1.

Report on requirements and specifications for smarter food and beverage production based on AI-technologies

[T1.5] Defining the requirements and specifications for the food and beverage processing and manufacturing industry use cases. The focus is on exploiting new AI technologies, IIoT devices, and infrastructure to increase quality, productivity, autonomy, safety, etc.

Report on hybrid intelligent system and sub-system level modelling and simulation for integration of AI methods

T23 Focus is on simulation analysis tools identification and concept solution for integration of AI methods on modelling simulation and design across different applications and industries Exploring various ways to combine and integrate different AI technologies by exploiting their strengths to produce hybrid solutions which are more robust flexible and exhibit more desired qualities than the one using either technology alone

Management and Quality Assurance Handbook

[T8.1, T8.2, T8.3] This deliverable will define management processes and rules for the involved partners for the duration of project solution. It will be useful mainly for administrative personnel inside of the project.

Definition of AI technologies and their specific solution requirements to bring it in the industry use

T12 This report shows the different approaches to the use of AI technologies across the different industries which have a demonstrator contribution in the project A new method for evaluating functional requirements for AI solutions is shown and implemented In particular the specific requirements are assessed and presented qualitatively and quantitatively On the one hand for the respective industry and overall industries

Draft plan for use and dissemination of the foreground

T71 T72 Document outlining how the projects aims and results will be communicated to the broader public and disseminated within research and industry communities and outlining the path towards commercialization of results

Specification of FMEA generator and materials simulation algorithms

[T1.3] The partners will define specifications for an AI based FMEA generator and materials simulation algorithms and provide a report.

Network building and AI ECSEL engagement workshop

[T8.5] AI4DI workshop and Webinars to support the network building and creating a dynamic ecosystem of ECSEL AI stakeholders that cooperate closely and support the European dimension of the project.

European AI Conference

[T8.5] AI European Conference organised with the support of AI4DI that will bring together the electronic components and systems, AI, connectivity, IoT/IIoT, edge computing communities to discuss and exchange ideas about challenges, barriers, adoption, best practices on use cases/solutions for digitising industry across industrial sectors.

Project website

[T7.1] Official project’s website with main information about the project, the consortium, and a separate password-protected members data-share section.

Publikacje

Analysis of Randomization Effects on Sim2Real Transfer in Reinforcement Learning for Robotic Manipulation Tasks

Autorzy: Josifovski, J.; Malmir, M.; Klarmann, N.; Zagar, B.L.; Navarro Guerrero, N.; Knoll
Opublikowane w: IEEE/RSJ International Conference on Intellig ent Robots and Systems (IROS ), 2022
Wydawca: IROS

ECBA-MLI: Edge Computing Benchmark Architecture for Machine Learning Inference

Autorzy: Mathias Schneider, Ruben Prokscha, Seifeddine Saadani, and Alfred Höß
Opublikowane w: 2022 IEEE International Conference on Edge Computing and Communications (EDGE), 2022
Wydawca: IEEE
DOI: 10.1109/edge55608.2022.00016

Acceptance of mobility as a service by car users

Autorzy: Risto Öörni
Opublikowane w: 14th ITS European Congress, 2021
Wydawca: ITS European Congress

A Tile-based Fused-layer CNN Accelerator for FPGAs

Autorzy: F. Indirli, A. Erdem, C. Silvano
Opublikowane w: 2020 27th IEEE International Conference on Electronics, Circuits and Systems (ICECS), 2021
Wydawca: IEE Explore
DOI: 10.1109/icecs49266.2020.9294981

State of Charge Estimation using Recurrent Neural Networks with Long Short-Term Memory for Lithium-Ion Batteries

Autorzy: Bockrath, S., Rosskopf, A., Koffel, S., Waldhör, S., Srivastava, K., & Lorentz, V. R.
Opublikowane w: 2019
Wydawca: IEEE
DOI: 10.1109/iecon42759.2019

Interturn short circuit modelling in dual three-phase PMSM

Autorzy: KOZOVSKÝ M., BUCHTA L., BLAHA P.
Opublikowane w: Proceedings of IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society, Numer 2022, 2022, Strona(/y) 1 - 6, ISBN 978-1-6654-8025-3
Wydawca: IEEE
DOI: 10.1109/iecon49645.2022.9968364

Effective Use of BERT in Graph Embeddings for Sparse Knowledge Graph Completion

Autorzy: Xinglan Liu, Hussain Hussain, Houssam Razouk, Roman Kern
Opublikowane w: SAC '22: Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, 2021
Wydawca: SAC

S2ORC-SemiCause: Annotating and analysing causality in the semiconductor domain

Autorzy: Xing Lan Liu, Eileen Salhofer, Anna Safont Andreu, Roman Kern
Opublikowane w: International Workshop on Edge Artificial Intelligence for Industrial Applications, 2021
Wydawca: River Publishers

A BERT-Based Report Classification for Semiconductor Failure Analysis

Autorzy: Corinna Grabner; Anna Safont-Andreu; Christian Burmer; Konstantin Schekotihin
Opublikowane w: 2022
Wydawca: ISTFA 2022 - International Symposium for Testing and Failure Analysis
DOI: 10.31399/asm.cp.istfa2022p0028

Report Classification for Semiconductor Failure Analysis

Autorzy: Frederik Platter; Anna Safont-Andreu; Christian Burmer; Konstantin Schekotihin
Opublikowane w: 2021
Wydawca: Electronic Device Failure Analysis Society ASM International

Integrating multiple observation sets into consistency-based diagnosis

Autorzy: Franz Wotawa
Opublikowane w: International Workshop on Principles of Diagnosis (DX), 2021
Wydawca: HSU-HH

Using Ontologies in Failure Analysis

Autorzy: Anna Safont-Andreu; Christian Burmer; Konstantin Schekotihin
Opublikowane w: 2021
Wydawca: Electronic Device Failure Analysis Society ASM International

Detection of the Interturn Shorts of a Three-Phase Motor Using Artificial Intelligence Processing Vibration Data

Autorzy: DOSEDĚL M., KOPEČNÝ L., KOZOVSKÝ M., HNIDKA J., HAVRÁNEK, Z.
Opublikowane w: Proceedings of the 2022 20th International Conference on Mechatronics - Mechatronika (ME), Numer 2022, 2022, Strona(/y) 234 - 238, ISBN 978-1-6654-1040-3
Wydawca: IEEE
DOI: 10.1109/me54704.2022.9982824

On the Use of Available Testing Methods for Verification & Validation of AI-based Software and Systems

Autorzy: Franz Wotawa
Opublikowane w: Proceedings of the Workshop on Artificial Intelligence Safety 2021 (SafeAI 2021) co-located with the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021), Numer February 8, 2021, 2021, Strona(/y) 6
Wydawca: CEUR Workshop Proceedings (CEUR-WS.org)

Graph Neural Networks for Relational Inductive Bias in Vision-based Deep Reinforcement Learning of Robot Control

Autorzy: Oliva , M., Banik, S., Josifovski, J., & Knoll,
Opublikowane w: International Joint Conference on Neural Networks (IJCNN) 2022, 2022
Wydawca: IJCNN

A Fully Automated Process for Semiconductor Technology Identification

Autorzy: Matthias Ludwig, Bernhard Lippmann, Ann-Christin Bette, Claus Lenz
Opublikowane w: 2021
Wydawca: Research Gate

Impact of Training Instance Selection on Domain-Specific Entity Extraction using BERT

Autorzy: Eileen Salhofer, Xing Lan Liu, Roman Kern
Opublikowane w: North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop, 2022
Wydawca: NAACL

Deploying Deep Neural Networks on Edge Devices for Grape Segmentation

Autorzy: Roesler, M., Mohimont, L., Alin, F., Gaveau, N., Steffenel, L.A. (2021). Deploying Deep Neural Networks on Edge Devices for Grape Segmentation. In: Boumerdassi, S., Ghogho, M., Renault, É
Opublikowane w: International Conference on Smart and Sustainable Agriculture, 2021, ISBN 978-3-030-88258-7
Wydawca: Springer
DOI: 10.1007/978-3-030-88259-4_3

Continual Learning on Incremental Simulations forReal-World Robotic Manipulation Tasks

Autorzy: Josip Josifovski, Mohammadhossein Malmir, Noah Klarmann, Alois Knoll
Opublikowane w: 2020
Wydawca: Semantic Scholar

Speed Control of PMSM with Finite Control Set Model Predictive Control Using General-purpose Computing on GPU

Autorzy: Michal Kozubik, Pavel Vaclavek
Opublikowane w: IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society, 2020, Strona(/y) 379-383, ISBN 978-1-7281-5414-5
Wydawca: IEEE
DOI: 10.1109/iecon43393.2020.9254381

AI-Based Edge Acquisition, Processing and Analytics for Industrial Food Production

Autorzy: Ovidiu VERMESAN, Ronnie Otto BELLMANN, Roy BAHR, Jøran Edell MARTINSEN, Anders KRISTOFFERSEN, Torgeir Hjertaker , John Breiland, Karl Andersen , Hans Erik SAND and David LINDBERG
Opublikowane w: 18th International Conference on Intelligent Environments IE2022, 2022
Wydawca: IE2022

Towards the knowledge reuse in the semiconductor manufacturing industry AI Approaches: pitfall and tips

Autorzy: Razouk H. and Kern R.
Opublikowane w: European apc|m Conference, 2022
Wydawca: -

Automated Diagnosis of Cyber-Physical Systems

Autorzy: Franz Wotawa, Oliver Tazl, and David Kaufmann
Opublikowane w: The 34th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE), 2021
Wydawca: Springer Nature
DOI: 10.1007/978-3-030-79463-7_37

DDMin versus QuickXplain – An Experimental Comparison of two Algorithms for Minimizing Collections

Autorzy: Oliver A. Tazl, Christopher Tafeit, Franz Wotawa, and Alexander Felfernig
Opublikowane w: Proceedings of the International Conference on Software Engineering and Knowledge Engineering (SEKE), 2022
Wydawca: KSI Research Inc.

DORY: Lightweight memory hierarchy management for deep NN inference on IoT endnodes - work-in-progress

Autorzy: Alessio Burrello, Francesco Conti, Angelo Garofalo, Davide Rossi, Luca Benini
Opublikowane w: Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis Companion, 2019, Strona(/y) 1-2, ISBN 9781-450369237
Wydawca: ACM
DOI: 10.1145/3349567.3351726

Comparison of Machine Learning and Deep Learning Methods for Grape Cluster Segmentation

Autorzy: Mohimont, L., Roesler, M., Rondeau, M., Gaveau, N., Alin, F., Steffenel, L.A. (2021). Comparison of Machine Learning and Deep Learning Methods for Grape Cluster Segmentation. In: Boumerdassi, S., Ghogho, M., Renault, É.
Opublikowane w: International Conference on Smart and Sustainable Agriculture (SSA'2021), Numer Communications in Computer and Information Science, vol 1470, 2021, ISBN 978-3-030-88258-7
Wydawca: Springer, Cham
DOI: 10.1007/978-3-030-88259-4_7

Optimizing 3D object detection for embedded systems in automated vehicles using sensor data fusion and CUDA computing

Autorzy: Topi Miekkala, Matti Kutila, Mathias Schneider and Alfred Höß
Opublikowane w: 2022
Wydawca: the 2022 IEEE 18th International Conference on Intelligent Computer Communication and Processing (ICCP 2022)

synthetic data of randomly piled, similar objects for deep learning-based object detection

Autorzy: Janis Arents, Bernd Lesser, Andis Bizuns, Roberts Kadikis, Elvijs Buls and Modris Greitans
Opublikowane w: 2022
Wydawca: Springer

DORY: Automatic End-to-End Deployment of Real-World DNNs on Low-Cost IoT MCUs

Autorzy: A. Burrello, A. Garofalo, N. Bruschi, G. Tagliavini, D. Rossi, F. Conti
Opublikowane w: IEEE Transactions on Computers, 2021
Wydawca: IEEE Xplore
DOI: 10.1109/tc.2021.3066883

Robust Sim2Real Transfer by Learning Deep Inverse Dynamics Model of Simulation

Autorzy: Mohammadhossein Malmir, Josip Josifovski, Noah Klarmann, Alois Knoll
Opublikowane w: 2020
Wydawca: Semantic Scholar

foxBMS-free and open BMS platform focused on functional safety and AI

Autorzy: Waldhoer, S., Bockrath, S., Wenger, M., Schwarz, R., & Lorentz, V. R.
Opublikowane w: PCIM Europe digital days 2020; International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, 2020
Wydawca: IEEE

AI-Based Edge Acquisition, Processing and Analytics for Industrial Food Production

Autorzy: Ovidiu VERMESAN, Ronnie Otto BELLMANN, Roy BAHR, Jøran Edell MARTINSEN, Anders KRISTOFFERSEN, Torgeir Hjertaker , John Breiland, Karl Andersen , Hans Erik SAND and David LINDBERG
Opublikowane w: IEEE INTERNATIONAL CONFERENCE ON EDGE COMPUTING & COMMUNICATIONS, 2022
Wydawca: IEE
DOI: 10.3233/aise220033

Benchmarking Automotive LiDAR Performance in Arctic Conditions

Autorzy: Matti Kutila, Pasi Pyykönen, Maria Jokela, Tobias Gruber, Mario Bijelic, Werner Ritter
Opublikowane w: 2020
Wydawca: IEEE
DOI: 10.1109/itsc45102.2020.9294367

A TinyML Platform for On-Device Continual Learning with Quantized Latent Replays

Autorzy: Leonardo Ravaglia; Manuele Rusci; Davide Nadalini; Alessandro Capotondi; Francesco Conti; Luca Benini
Opublikowane w: IEEE Journal on Emerging and Selected Topics in Circuits and Systems 11.4 (2021), Numer 21563365, 2021, Strona(/y) 789-802, ISSN 2156-3365
Wydawca: IEEEE
DOI: 10.1109/jetcas.2021.3121554

Improving the Consistency of the Failure Mode Effect Analysis (FMEA) Documents in Semiconductor Manufacturing

Autorzy: Houssam Razouk, Roman Kern
Opublikowane w: Applied Sciences, Numer 20763417, 2022, ISSN 2076-3417
Wydawca: MDPI
DOI: 10.3390/app12041840

Advanced Applications of Industrial Robotics: New Trends and Possibilities

Autorzy: Andrius Dzedzickis, Jurga Subaciute-Žemaitiene, Ernestas Šutinys, Urte Samukaite-Bubniene and Vytautas Bucinskas
Opublikowane w: Applied Sciences, 2021, ISSN 2076-3417
Wydawca: Applied Sciences

XpulpNN: Enabling Energy Efficient and Flexible Inference of Quantized Neural Networks on RISC-V based IoT End Nodes

Autorzy: Angelo Garofalo, Giuseppe Tagliavini, Francesco Conti, Luca Benini and Davide Rossi
Opublikowane w: IEEE Transactions on Emerging Topics in Computing, 2021, ISSN 0890-8044
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tetc.2021.3072337

Traitement d’Images et Apprentissage Automatique pour la Viticulture de Précision

Autorzy: Lucas Mohimont; Amine Chemchem ; Marine Rondeau ; Mathias Roesler ; François Alin ; Nathalie Gaveau ; Luiz Angelo Steffenel
Opublikowane w: Revue Ouverte d'Intelligence Artificielle, 2021, ISSN 0992-499X
Wydawca: Lavoisier

An Intelligent Real-Time Edge Processing Maintenance System for Industrial Manufacturing, Control, and Diagnostic

Autorzy: Ovidiu Vermesan, Marcello Coppola, Roy Bahr, Ronnie Otto Bellmann, Jøran Edell Martinsen, Anders Kristoffersen, Torgeir Hjertaker, John Breiland, Karl Andersen, Hans Erik Sand and David Lindberg
Opublikowane w: Frontiers in Chemical Engineering, 2022, ISSN 2673-2718
Wydawca: Lausanne: Frontiers Media SA
DOI: 10.3389/fceng.2022.900096

A review on AI Safety in highly automated driving

Autorzy: Wäschle, Moritz and Thaler, Florian and Berres, Axel and Pölzlbauer, Florian and Albers, Albert
Opublikowane w: Frontiers in Artificial Intelligence, Numer 26248212, 2022, ISSN 2624-8212
Wydawca: www.frontiersin.org
DOI: 10.3389/frai.2022.952773

State of Health Estimation using a Temporal Convolutional Network for an Efficient Use of Retired Electric Vehicle Batteries within Second-Life Applications

Autorzy: Journal of Applied Energy
Opublikowane w: Journal of Applied Energy, 2022, ISSN 0306-2619
Wydawca: Pergamon Press Ltd.

Intelligent Agents Diagnostics—Enhancing Cyber‐Physical Systems with Self‐Diagnostic Capabilities

Autorzy: David Kaufmann, Iulia Nica, Franz Wotawa
Opublikowane w: Advanced Intelligent Systems, Numer 3/5, 2021, Strona(/y) 2000218, ISSN 2640-4567
Wydawca: Wiley
DOI: 10.1002/aisy.202000218

Accurate First-Principles Treatment of the High-Temperature Cubic Phase of Hafnia

Autorzy: Sebastian Bichelmaier,Jesús Carrete,Michael Nelhiebel,Georg K. H. Madsen
Opublikowane w: Wiley Online Library, Numer 18626254, 2022, ISSN 1862-6254
Wydawca: Wiley - VCH Verlag GmbH & CO. KGaA
DOI: 10.1002/pssr.202100642

CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices

Autorzy: Alessandro Capotondi, Manuele Rusci, Marco Fariselli, Luca Benini
Opublikowane w: IEEE Transactions on Circuits and Systems II: Express Briefs, Numer 67/5, 2020, Strona(/y) 871-875, ISSN 1549-7747
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tcsii.2020.2983648

Runtime Design Space Exploration and Mapping of DCNNs for the Ultra-Low-Power Orlando SoC

Autorzy: Ahmet Erdem, Cristina Silvano, Thomas Boesch, Andrea Carlo Ornstein, Surinder-Pal Singh, Giuseppe Desoli
Opublikowane w: ACM Transactions on Architecture and Code Optimization, Numer 17/2, 2020, Strona(/y) 1-25, ISSN 1544-3566
Wydawca: Association for Computing Machinary, Inc.
DOI: 10.1145/3379933

Smart Industrial Robot Control Trends, Challenges and Opportunities within Manufacturing

Autorzy: Janis Arents and Modris Greitans
Opublikowane w: Applied Sciences, 2021, ISSN 2076-3417
Wydawca: Applied Sciences

Improving Industrial Robot Positioning Accuracy to the Microscale Using Machine Learning Method

Autorzy: Vytautas Bucinskas, Andrius Dzedzickis, Marius Sumanas, Ernestas Sutinys, Sigitas Petkevicius, Jurate Butkiene, Darius Virzonis and Inga Morkvenaite-Vilkonciene
Opublikowane w: Machines, Numer 20751702, 2022, Strona(/y) 20, ISSN 2075-1702
Wydawca: MDPI
DOI: 10.3390/machines10100940

Vega: A Ten-Core SoC for IoT Endnodes With DNN Acceleration and Cognitive Wake-Up From MRAM-Based State-Retentive Sleep Mode

Autorzy: D. Rossi, F. Conti, M. Eggiman, A. Di Mauro, G. Tagliavini, S. Mach, M. Guermandi, A. Pullini, I. Loi, J. Chen, E. Flamand, L. Benini
Opublikowane w: IEEE Journal of Solid-State Circuits, 2022, ISSN 0018-9200
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/jssc.2021.3114881

A Motion Capture and Imitation Learning Based Approach to Robot Control

Autorzy: Peteris Racinskis, Janis Arents and Modris Greitans
Opublikowane w: Applied Sciences, 2022, ISSN 2076-3417
Wydawca: MDPI

A TinyML Platform for On-Device Continual Learning With Quantized Latent Replays

Autorzy: L. Ravaglia, M. Rusci, D. Nadalini, A. Capotondi, L. Benini
Opublikowane w: IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2021, ISSN 2156-3357
Wydawca: IEEE Circuits and Systems Society

Model-based reasoning using answer set programming

Autorzy: Franz Wotawa and David Kaufmann
Opublikowane w: Applied Intelligence, 2022, ISSN 1573-7497
Wydawca: Applied Intelligence
DOI: 10.1007/s10489-022-03272-2

Automotive Intelligence Embedded in Electric Connected Autonomous and Shared Vehicles Technology for Sustainable Green Mobility

Autorzy: Vermesan O, John R, Pype P, Daalderop G, Kriegel K, Mitic G, Lorentz V, Bahr R, Sand HE, Bockrath S and Waldhör S
Opublikowane w: Front. Future Transp, Numer 26 August 2021, 2021, ISSN 2673-5210
Wydawca: Frontiers in future transportation
DOI: 10.3389/ffutr.2021.688482

Accurate effective harmonic potential treatment of the high-temperature cubic phase of Hafnia

Autorzy: Sebastian Bichelmaier,Jesús Carrete,Michael Nelhiebel,Georg K. H. Madsen
Opublikowane w: physica status solidi (RRL) – Rapid Research Letters, Numer 18626254, 2021, ISSN 1862-6254
Wydawca: Wiley - VCH Verlag GmbH & CO. KGaA
DOI: 10.48550/arxiv.2110.04771

AI in Industrial Machinery

Autorzy: Giulio Urlini , Janis Arents and Antonio Latella
Opublikowane w: Artificial Intelligence for Digitising Industry, 2021
Wydawca: River Publisher

AI-Based Vehicle Systems for Mobility-as-a-Service Application

Autorzy: Mikko Tarkiainen , Matti Kutila , Topi Miekkala, Sami Koskinen , Jokke Ruokolainen , Sami Dahlmanand Jani Toiminen
Opublikowane w: Artificial Intelligence for Digitising Industry, 2021
Wydawca: River Publishers

Radar-Based Human-Robot Interfaces

Autorzy: Hans Cappelle , Ali Gorji Daronkolaei , Ing Jyh Tsang , Björn Debaillie and Ilja Ocket
Opublikowane w: Artificial Intelligence for Digitising Industry, 2021
Wydawca: River Publishers

Generating Trust in Hardware through Physical Inspection

Autorzy: Bernhard Lippmann, Matthias Ludwig and Horst Gieser
Opublikowane w: Embedded Artificial Intelligence Devices, Embedded Systems, and Industrial Applications, 2022
Wydawca: River Publishers

Benchmarking Neuromorphic Computing for Inference

Autorzy: Simon Narduzzi, Loreto Mateu, Petar Jokic, Erfan Azarkhish, and Andrea Dunbar
Opublikowane w: Industrial Artificial Intelligence Technologies and Applications, 2022, ISBN 9788770227919
Wydawca: River Publishers

Impact of AI and Digital Twins on IIoT

Autorzy: Bin Han, Björn Richerzhagen, Hans Schotten, Davide Calandra, and Fabrizio Lamberti
Opublikowane w: 2022, ISBN 9788770226103
Wydawca: River Publishers

Failure Detection in Silicon Package

Autorzy: Saad Al-Baddai and Jan Papadoudis
Opublikowane w: Industrial Artificial Intelligence Technologies and Applications, 2022, ISBN 9788770227919
Wydawca: River Publishers

AI-Powered Collision Avoidance Safety System for Industrial Woodworking Machinery

Autorzy: Conti, F.; Indirli, F.; Latella, A.; Papariello, F.; Puglia, G. M.; Tecce, F.; Urlini, G.; Zanghieri, M.
Opublikowane w: 2021
Wydawca: River Publishers

On the Verification of Diagnosis Models

Autorzy: Franz Wotawa and Oliver Tazl
Opublikowane w: Industrial Artificial Intelligence Technologies and Applications, 2022
Wydawca: River Publishers

AI for Inbound Logistics Optimisation in Automotive Industry

Autorzy: Nikolaos Evangeliou1, George Stamatis1, George Bravos1, Daniel Plorin2 and Dominik Stark2
Opublikowane w: Artificial Intelligence for Digitising Industry, 2021, ISBN 9788770226646
Wydawca: River Publishers

Optimisation of Soybean Manufacturing Process Using Real-time Artificial Intelligence of Things Technology

Autorzy: Ovidiu Vermesan , Jøran Edell Martinsen , Anders Kristoffersen , Roy Bahr , Ronnie Otto Bellmann, Torgeir Hjertaker , John Breiland , Karl Andersen, Hans Erik Sand , Parsa Rahmanpour and David Lindberg
Opublikowane w: Artificial Intelligence for Digitising Industry, 2021
Wydawca: River Publishers

Edge AI Platforms for Predictive Maintenance in Industrial Applications

Autorzy: Ovidiu Vermesan and Marcello Copolla
Opublikowane w: Embedded Artificial Intelligence - Devices, Embedded Systems, and Industrial Applications, 2022
Wydawca: River Publishers

Automated Anomaly Detection Through Assembly and Packaging Process

Autorzy: Saad Al-Baddai , Martin Juhrisch , Jan Papadoudis , Anna Renner , Lippmann Bernhard , Cristina De Luca , Fabian Haas and Wolfgang Schober
Opublikowane w: 2021
Wydawca: River Publishers

Artificial Intelligence Advancements for Digitising Industry

Autorzy: Ovidiu Vermesan and Reiner John
Opublikowane w: Intelligent Edge-Embedded Technologies for Digitising Industry, 2022, ISBN 9788770226103
Wydawca: River Publishers

AI-Based Quality Control System at the Pressing Stages of the Champagne Production

Autorzy: Lucas Mohimont , Mathias Roesler, Angelo Steffenel , Nathalie Gaveau , Marine Rondeau , François Alin , Clément Pierlot , Rachel Ouvinha de Oliveira , Marcello Coppola and Philipe Doré
Opublikowane w: Artificial Intelligence for Digitising Industry, 2021
Wydawca: River Publishers

Real-Time Predictive Maintenance – Model-Based, Simulation-Based and Machine Learning-Based Diagnosis

Autorzy: Franz Wotawa, David Kaufmann, Adil Amukhtar , Iulia Nica , Florian Klück , Hermann Felbinger, Petr Blaha, Matus Kozovsky , Zdenek Havranek and Martin Dosedel
Opublikowane w: Artificial Intelligence for Digitising Industry, 2021
Wydawca: River Publishers

Ethical Considerations and Trustworthy Industrial AI Systems

Autorzy: Ovidiu Vermesan, Cristina De Luca, Reiner John, Marcello Coppola, Björn Debaillie, and Giulio Urlini
Opublikowane w: Intelligent Edge-Embedded Technologies for Digitising Industry, 2022, ISBN 9788770226103
Wydawca: River Publishers

Touch Identification on Sensitive Robot Skin Using Time Domain Reflectometry and Machine Learning Methods

Autorzy: Pawel Kostka, Anja Winkler, Adnan Haidar, Muhammad Ghufran Khan, Rene Jäkel, Peter Winkler and Ralph Müller-Pfefferkorn
Opublikowane w: Artificial Intelligence for Digitising Industry, 2021
Wydawca: River Publisher

State of Health Estimation using a Temporal Convolutional Network for an Efficient Use of Retired Electric Vehicle Batteries within Second-Life Applications

Autorzy: Steffen Bockrath, Stefan Waldhör, Harald Ludwig, Vincent Lorentz
Opublikowane w: Artificial Intelligence for Digitising Industry, 2021, ISBN 9788770226646
Wydawca: River Publishers

AI and IIoT-based Predictive Maintenance System for Soybean Processing

Autorzy: Ovidiu Vermesan , Jøran Edell Martinsen , Anders Kristoffersen , Roy Bahr , Ronnie Otto Bellmann, Torgeir Hjertaker , John Breiland , Karl Andersen, Hans Erik Sand , Parsa Rahmanpour and David Lindberg
Opublikowane w: Artificial Intelligence For Digitising Industry, 2021
Wydawca: River Publishers

AI-Driven Yield Estimation Using an Autonomous Robot for Data Acquisition

Autorzy: Lucas Mohimont , Luiz Angelo Steffenel , Mathias Roesler , Nathalie Gaveau , Marine Rondeau , François Alin , Clément Pierlot , Rachel Ouvinha de Oliveira and Marcello Coppola
Opublikowane w: Artificial Intelligence for Digitising Industry, 2021
Wydawca: River Publishers

Lesson Learnt and Future of AI Applied to Manufacturing

Autorzy: Valerio Frascolla, Matthias Hummert, Tobias Monsees, Dirk Wübben, Armin Dekorsy, Nicola Michailow, Volkmar Döricht, Christoph Niedermeier, Joachim Kaiser, Arne Bröring, Michael Villnow, DanielWessel, Florian Geiser, MatthiasWissel, Alberto Viseras, Bin Han, Björn Richerzhagen, Hans Schotten, Davide Calandra, and Fabrizio Lamberti
Opublikowane w: Intelligent Edge-Embedded Technologies for Digitising Industry, 2022, ISBN 9788770226103
Wydawca: River Publishers

Innovative Vineyards Environmental Monitoring System Using Deep Edge AI

Autorzy: Marcello Coppola , Louis Noaille , Clément Pierlot , Rachel Ouvinha de Oliveira , Nathalie Gaveau , Marine Rondeau , Lucas Mohimont , Luiz Angelo Steffenel , Simone Sindaco and Tullio Salmon
Opublikowane w: Artificial Intelligence for Digitising Industry, 2021
Wydawca: River Publisher

AI-Driven Strategies to Implement a Grapevine Downy Mildew Warning System

Autorzy: Luiz Angelo Steffenel, Axel Langlet, Lilian Hollard, Lucas Mohimont, Nathalie Gaveau, Marcello Copola, Clément Pierlot, and Marine Rondeau
Opublikowane w: Industrial Artificial Intelligence Technologies and Applications, 2022, ISBN 9788770227919
Wydawca: River Publishers

AI Reshaping the Automotive Industry

Autorzy: Daniel Plorin
Opublikowane w: Artificial Intelligence for Digitising Industry, 2021
Wydawca: River Publishers
DOI: 10.13052/rp-9788770226639

Towards Fully Automated Verification of Semiconductor Technologies

Autorzy: Matthias Ludwig , Dinu Purice , Bernhard Lippmann, Ann-Christin Bette and Claus Lenz
Opublikowane w: Artificial Intelligence for Digitising Industry, 2021
Wydawca: River Publishers

Temporal Delta Layer: Exploiting Temporal Sparsity in Deep Neural Networks for Time-Series Data

Autorzy: Preetha Vijayan, Amirreza Yousefzadeh, Manolis Sifalakis, and Rene van Leuken
Opublikowane w: Industrial Artificial Intelligence Technologies and Applications, 2022, ISBN 9788770227919
Wydawca: River Publishers

Power Optimised Wafermap Classification for Semiconductor Process Monitoring

Autorzy: Ana Pinzari, Thomas Baumela, Liliana Andrade, Marcello Copolla and Frédéric Pétrot
Opublikowane w: Embedded Artificial Intelligence - Devices, Embedded Systems, and Industrial Applications, 2022
Wydawca: River Publishers

Current Challenges of AI Standardisation in the Digitising Industry

Autorzy: Ovidiu Vermesan, Marcello Coppola, Reiner John, Cristina De Luca, Roy Bahr, and Giulio Urlini
Opublikowane w: Intelligent Edge-Embedded Technologies for Digitising Industry, 2022, ISBN 9788770226103
Wydawca: River Publishers

Radar-Based Human-Robot Interfaces

Autorzy: Hans Cappelle , Ali Gorji Daronkolaei , Ing Jyh Tsang , Björn Debaillie and Ilja Ocket
Opublikowane w: 2021
Wydawca: River Publisher

Construction of a Smart Vision-Guided Robot System for Manipulation in a Dynamic Environment

Autorzy: Janis Arents , Modris Greitans and Bernd Lesser
Opublikowane w: Artificial Intelligence for Digitising Industry, 2021
Wydawca: River Publishers

Feasibility of Wafer Exchange for European Edge AI Pilot Lines

Autorzy: Annika Franziska Wandesleben, Delphine Truffier-Boutry, Varvara Brackmann, Benjamin Lilienthal-Uhlig, Manoj Jaysnkar, Stephan Beckx, Ivan Madarevic, Audde Demarest, Bernd Hintze, Franck Hochschulz, Yannick Le Tiec, Alessio Spessot, and Fabrice Nemouchi
Opublikowane w: Industrial Artificial Intelligence Technologies and Applications, 2022, ISBN 9788770227919
Wydawca: River Publishers

Open Traffic Data for Mobility-as-a-Service Applications – Architecture and Challenges

Autorzy: Mathias Schneider, Mina Marmpena , Haris Zafeiris , Ruben Prokscha , Seifeddine Saadani , Nikolaos Evangeliou , George Bravos and Alfred Höß1
Opublikowane w: Artificial Intelligence for Digitising Industry, 2021
Wydawca: River Publishers

Embedded Edge Intelligent Processing for End-To-End Predictive Maintenance in Industrial Applications

Autorzy: Ovidiu Vermesan and Marcello Coppola
Opublikowane w: Industrial Artificial Intelligence Technologies and Applications, 2022, ISBN 9788770227919
Wydawca: River Publishers

Applications of AI in Transportation Industry

Autorzy: Mathias Schneider, Matti Kutila and Alfred Höß1
Opublikowane w: 2021
Wydawca: River Publishers

Tools and Methodologies for Training, Profiling, and Mapping a Neural Network on a Hardware Target

Autorzy: Alexandre Valentian, Simon Narduzzi, Muhammad Arsalan, Kay Bierzynski, Stefano Traferro, Preetha Vijayan, Amirreza Yousefzadeh, Manolis Sifalakis, Rene Van Leuken, Dylan Muir, Rashid Ali, Maen Mallah, Bijoy Kundu, Loreto Mateu, and Mario Diaz Nava
Opublikowane w: 2022, ISBN 9788770226103
Wydawca: River Publishers

Technology and Hardware for Neuromorphic Computing

Autorzy: Björn Debaillie, Ilja Ocket, and Peter Debacker
Opublikowane w: Intelligent Edge-Embedded Technologies for Digitising Industry, 2022, ISBN 9788770226103
Wydawca: River Publishers

Touch Identification on Sensitive Robot Skin Using Time Domain Reflectometry and Machine Learning Methods

Autorzy: Pawel Kostka, Anja Winkler, Adnan Haidar, Muhammad Ghufran Khan, Rene Jäkel, Peter Winkler and Ralph Müller-Pfefferkorn
Opublikowane w: 2021
Wydawca: River Publisher

Touch Identification on Sensitive Robot Skin Using Time DomainReflectometry.

Autorzy: Pawel Kostka; Anja Winkler; Adnan Haidar; Muhammad Ghufran Khan; Rene Jäkel; Peter Winkler; Ralph Müller‐Pfefferkorn
Opublikowane w: Artificial Intelligence for Digitising Industry–Applications, 2021, ISBN 9788770226646
Wydawca: River Publishers

On the Use of Answer Set Programming for Model-Based Diagnosis

Autorzy: Franz Wotawa
Opublikowane w: Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices - 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020, Kitakyushu, Japan, September 22-25, 2020, Proceedings, Numer 12144, 2020, Strona(/y) 518-529, ISBN 978-3-030-55788-1
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-030-55789-8_45

AI-Powered Collision Avoidance Safety System for Industrial Woodworking Machinery

Autorzy: Francesco Conti , Fabrizio Indirli , Antonio Latella, Francesco Papariello, Giacomo Michele Puglia, Felice Tecce , Giulio Urlini and Marcello Zanghieri
Opublikowane w: Artificial Intelligence for Digitising Industry, 2021
Wydawca: River Publishers

An End-to-End AI-based Automated Process for Semiconductor Device Parameter Extraction

Autorzy: Dinu Purice, Matthias Ludwig, and Claus Lenz
Opublikowane w: Industrial Artificial Intelligence Technologies and Applications, 2022, ISBN 9788770227919
Wydawca: River Publishers

Emerging In-memory Computing for Neural Networks

Autorzy: Nellie Laleni, Taha Soliman, Alptekin Vardar, and Thomas K¨ampfe
Opublikowane w: Intelligent Edge-Embedded Technologies for Digitising Industry, 2022, ISBN 9788770226103
Wydawca: River Publishers

Innovative Vineyards Environmental Monitoring System Using Deep Edge AI

Benchmarking the Epiphany Processor as a Reference Neuromorphic Architecture

Autorzy: Maarten Molendijk, Kanishkan Vadivel, Federico Corradi, Gert-Jan van Schaik, Amirreza Yousefzadeh, and Henk Corporaal
Opublikowane w: Industrial Artificial Intelligence Technologies and Applications, 2022, ISBN 9788770227919
Wydawca: River Publishers

Foundations of Real-Time Predictive Maintenance with Root Cause Analysis

AI in Semiconductor Industry

Autorzy: Cristina De Luca , Bernhard Lippmann, Wolfgang Schober , Saad Al-Baddai , Georg Pelz , Andreja Rojko , Frédéric Pétrot, Marcello Coppola and Reiner John
Opublikowane w: Artificial Intelligence for Digitising Industry, 2021
Wydawca: River Publisher

Industrial AI Technologies for Next-Generation Autonomous Operations with Sustainable Performance

Autorzy: Ovidiu Vermesan, Frédéric Pétrot, Marcello Coppola, Mathias Schneider, and Alfred Höß
Opublikowane w: Intelligent Edge-Embedded Technologies for Digitising Industry, 2022, ISBN 9788770226103
Wydawca: River Publishers

AI in Food and Beverage Industry

Autorzy: Rachel Ouvinha de Oliveira , Marcello Coppola and Ovidiu Vermesan
Opublikowane w: 2021
Wydawca: River Publisher

Deploying a Convolutional Neural Network on Edge MCU and Neuromorphic Hardware Platforms

Autorzy: Simon Narduzzi, Dorvan Favre, Nuria Pazos Escudero and L. Andrea Dunbar
Opublikowane w: Industrial Artificial Intelligence Technologies and Applications, 2022, ISBN 9788770227919
Wydawca: River Publishers

AI-Based Knowledge Management System for Risk Assessment and Root Cause Analysis in Semiconductor Industry

Autorzy: Houssam Razouk, Roman Kern, Martin Mischitz , Josef Moser , Mirhad Memic , Lan Liu , Christian Burmer and Anna Safont-Andreu
Opublikowane w: Artificial Intelligence for Digitising Industry, 2021
Wydawca: River Publisher

Using FeFETs as Resistive Synapses in Crossbar-based Analog MAC Accelerating Units

Autorzy: Lei Zhang, David Borggreve, Frank Vanselow, Ralf Brederlow
Opublikowane w: Intelligent Edge-Embedded Technologies for Digitising Industry, 2022, ISBN 9788770226103
Wydawca: River Publishers

AI-Driven Yield Estimation Using an Autonomous Robot for Data Acquisition

Efficient Deep Learning Approach for Fault Detection in the Semiconductor Industry

Autorzy: Liliana Andrade , Thomas Baumela , Frédéric Pétrot , David Briand , Olivier Bichler and Marcello Coppola
Opublikowane w: Artificial Intelligence for Digitising Industry, 2021
Wydawca: River Publishers

A Framework for Integrating Automated Diagnosis into Simulation

Autorzy: David Kaufmann and Franz Wotawa
Opublikowane w: Industrial Artificial Intelligence Technologies and Applications, 2022
Wydawca: River Publisher

Optimising Trajectories in Simulations with Deep Reinforcement Learning for Industrial Robots in Automotive Manufacturing

Autorzy: Noah Klarmann, Mohammadhossein Malmir, Josip Josifovski, Daniel Plorin, Matthias Wagner and Alois C. Knoll
Opublikowane w: Artificial Intelligence for Digitising Industry Applications, 2021
Wydawca: River Publishers

Real-Time Predictive Maintenance – Artificial Neural Network Based Diagnosis

Autorzy: Petr Blaha , Matus Kozovsky , Zdenek Havranek , Martin Dosedel , Franz Wotawa , David Kaufmann , Adil Amukhtar , Iulia Nica , Florian Klück and Hermann Felbinger
Opublikowane w: Artificial Intelligence for Digitising Industry, 2021
Wydawca: River Publisher

Construction of a Smart Vision-Guided Robot System for Manipulation in a Dynamic Environment

Autorzy: Janis Arents , Modris Greitans and Bernd Lesser
Opublikowane w: 2021
Wydawca: River Publisher

Efficient Edge Deployment Demonstrated on YOLOv5 and Coral Edge TPU

Autorzy: Ruben Prokscha, Mathias Schneider, and Alfred Höß
Opublikowane w: Industrial Artificial Intelligence Technologies and Applications, 2022, ISBN 9788770227919
Wydawca: River Publishers

Vers des Modèles IA pour l'Estimation du Rendement en Viticulture

Autorzy: Luiz Angelo Steffenel
Opublikowane w: TERINT2021, 2021, ISBN 9782364938953
Wydawca: 1er Colloque 2021 sur l’émergence de TERritoires INTelligents (TERINT2021)

AI Machine Vision System for Wafer Defect Detection

Autorzy: Dmitry Morits, Marcelo Rizzo Piton, and Timo Laakko
Opublikowane w: Industrial Artificial Intelligence Technologies and Applications, 2022, ISBN 9788770227919
Wydawca: River Publishers

Artificial Intelligence for Digitising Industry

Autorzy: Editors: Ovidiu Vermesan, Reiner John, Cristina De Luca and Marcello Coppola
Opublikowane w: 2021, ISBN 9788770226646
Wydawca: River Publishers

Intelligent Edge-Embedded Technologies for Digitising Industry

Autorzy: Editors: Ovidiu Vermesan and Mario Diaz Nava
Opublikowane w: 2022, ISBN 9788770226110
Wydawca: River Publishers
DOI: 10.13052/rp-9788770226103

Industrial Artificial Intelligence Technologies and Applications

Autorzy: Editors: Ovidiu Vermesan, Franz Wotawa, Mario Diaz Nava and Björn Debaillie
Opublikowane w: 2022, ISBN 9788770227919
Wydawca: River Publishers
DOI: 10.13052/rp-9788770227902

Embedded Artificial Intelligence: Devices, Embedded Systems, and Industrial Applications

Autorzy: Editors Ovidiu Vermesan, SINTEF, Norway Mario Diaz Nava, STMicroelectronics, France Björn Debaillie, imec, Belgium
Opublikowane w: 2022, ISBN 978-87-7022-820-6
Wydawca: River Publishers

Testumgebung für Edge Computing in Intelligenten Transportsystemen (ITS)

Autorzy: Mathias Schneider, Seifeddine Saadani, Ruben Prokscha, Alfred Höß
Opublikowane w: 2021
Wydawca: Research Gate
DOI: 10.13140/rg.2.2.35627.16169

KI-basierte Optimierung von Daten-Pipelines

Autorzy: Ruben Prokscha, Mathias Schneider, Seifeddine Saadani, Dr.-Ing. Alfred Höß
Opublikowane w: 2022
Wydawca: Research gate

Graph Neural Networks for Relational Inductive Bias in Vision-based Deep Reinforcement Learning of Robot Control

Autorzy: Oliva, Marco, Soubarna Banik, Josip Josifovski, and Alois Knoll.
Opublikowane w: 2021
Wydawca: arXiv

Application of machine learning in Microelectromechanical systems (MEMS) manufacturing

Autorzy: Kamil Marwat
Opublikowane w: 2019
Wydawca: Aalto University

Realization of a Service Pipeline for Traffic Density Estimation and Prediction based on Traffic Data using Machine Learning

Autorzy: Ruben Prokscha
Opublikowane w: 2022
Wydawca: -
DOI: 10.13140/rg.2.2.13704.49927

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