Technology and hardware for neuromorphic computing

Project Information

TEMPO

Grant agreement ID: 826655

DOI 10.3030/826655

Project closed

EC signature date 23 May 2019

Start date 1 May 2019

End date 31 January 2023

Funded under

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Total cost € 34 018 428,98

EU contribution € 10 158 197,71

Coordinated by

INTERUNIVERSITAIR MICRO-ELECTRONICA CENTRUM
Belgium

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Other (2)

Press Release
Website launch

Publications

Peer reviewed articles (25)

A Synergistic Approach of Interfacial Layer Engineering and READ-Voltage Optimisation in HfO 2 Based FeFETs for In- Memory-Computing Applications

Author(s): Yannick Raffel, Sourav De, Maximilian Lederer, Ricardo Revello Olivo, Raik Hoffmann, Sunanda Thunder, Luca Pirro, Sven Beyer, Talha Chohan, Thomas Kämpfe, Konrad Seidel, Johannes Heitmann
Published in: ACS Applied Electronic Materials, Issue 00000000, 2022, ISSN 0000-0000
Publisher: ACS
DOI: 10.1021/acsaelm.2c00771

Demonstration of Multiply-Accumulate Operation with 28 nm FeFET Crossbar Array

Author(s): S. De, F. Müller, N. Laleni, M. Lederer, Y. Raffel, S. Mojumder, S. Abdulazhanov, T. Ali, S. Dünkel, S. Beyer, K. Seidel, T. Kämpfe
Published in: IEEE Electron Device Letters, Issue 00000000, 2022, ISSN 0000-0000
Publisher: IEEE
DOI: 10.1109/led.2022.3216558

Ultra-Low-Power FDSOI Neural Circuits for Extreme-Edge Neuromorphic Intelligence

Author(s): Rubino, Arianna; Livanelioglu, Can; Qiao, Ning; Payvand, Melika; Indiveri, Giacomo
Published in: IEEE Transactions on Circuits and Systems I: Regular Papers, 68, Issue 15498328, 2021, ISSN 1549-8328
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tcsi.2020.3035575

Optimizing the Energy Consumption of Spiking Neural Networks for Neuromorphic Applications.

Author(s): Martino Sorbaro; Martino Sorbaro; Qian Liu; Massimo Bortone; Sadique Sheik
Published in: Frontiers in Neuroscience, Vol 14 (2020), Issue 00000000, 2020, ISSN 0000-0000
Publisher: Frontiers in Neuroscience
DOI: 10.48550/arxiv.1912.01268

READ-Optimized 28nm HKMG Multi-bit FeFET Synapses for Inference-Engine Applications

Author(s): S. De, F. Müller, H.-H. Le, M. Lederer, Y. Raffel, T. Ali, D. Lu, T. Kämpfe
Published in: IEEE Journal of the Electron Device Society, Issue 21686734, 2022, ISSN 2168-6734
Publisher: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/jeds.2022.3195119

Optimizing Ferroelectric and Interface Layers in HZO-Based FTJs for Neuromorphic Applications

Author(s): A. Sünbül, T. Ali, K. Mertens, R. Olivo, D. Lehninger, F. Müller, M. Lederer, K. Kühnel, M. Rudolph, S. Oehler, R. Hoffmann, K. Zimmermann, K. Biedermann, P. Schramm, M. Czernohorsky, K. Seidel, T. Kämpfe, L. M. Eng
Published in: IEEE Transactions on Electron Devices, Issue 00189383, 2021, ISSN 0018-9383
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/ted.2021.3131971

FeFET Multi-Bit Content-Addressable Memories for In-Memory Nearest Neighbor Search

Author(s): A. Kazemi, M.M. Sharifi, A.F. Balon Laguna, F. Muller, X. Yin, T. Kampfe, M. Niemier, X.S. Hu
Published in: IEEE Transactions on Computers, Issue 00189340, 2021, ISSN 0018-9340
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tc.2021.3136576

Power-Efficient Gesture Sensing for Edge Devices: A 60 GHz Radar using Spiking Neural Networks

Author(s): M. Arsalan, A. Santra, V. Issakov
Published in: IEEE Sensors Journal, 2022, ISSN 0000-0000
Publisher: IEEE

Achieving software-equivalent accuracy for hyperdimensional computing with ferroelectric-based in-memory computing

Author(s): Arman Kazemi, Franz Müller, Mohammad Mehdi Sharifi, Hamza Errahmouni, Gerald Gerlach, Thomas Kämpfe, Mohsen Imani, X. Sharon Hu, Michael Niemier
Published in: Scientific Reports, 2022, ISSN 0000-0000
Publisher: Nature Springer

Power-Efficient Gesture Sensing for Edge Devices: Mimicking Fourier Transforms with Spiking Neural Networks

Author(s): M. Arsalan, A. Santra, V. Issakov
Published in: Applied Intelligence, 2022, ISSN 0000-0000
Publisher: Springer

Analysis of Edge-Optimized Deep Learning classifiers for radar-based gesture recognition

Author(s): M. Chmurski, M. Zubert; K. Bierzynski, A. Santra
Published in: IEEE Access, Issue 00000000, 2021, ISSN 0000-0000
Publisher: IEEE
DOI: 10.1109/access.2021.3081353

SPICE compatible semi-empirical compact model for ferroelectric hysteresis

Author(s): M. Lederer, R. Olivo, N. Yadav, S. De, K. Seidel, L. M. Eng, T. Kämpfe
Published in: Solid State Electronics, Issue 00000000, 2023, ISSN 0000-0000
Publisher: Elsevier
DOI: 10.1016/j.sse.2022.108501

2022 Roadmap on Neuromorphic Computing and Engineering

Author(s): "Christensen, Dennis Valbjø rn; Dittmann, Regina; Linares-Barranco, Bernabe; Sebastian, Abu; Le Gallo, Manuel; Redaelli, Andrea; Slesazeck, Stefan; Mikolajick, Thomas; Spiga, Sabina; Menzel, Stephan; Valov, Ilia; Milano, Gianluca; Ricciardi, Carlo; Liang, Shi-Jun; Miao, Feng; Lanza, Mario; Quill, Tyler J.; Keene, Scott Tom; Salleo, Alberto; Grollier, Julie; Markovic, Danijela; Mizrahi, Alice;"
Published in: Neuromorphic Computing and Engineering, Issue 00000000, 2022, ISSN 0000-0000
Publisher: IOP Publishing
DOI: 10.17863/cam.85140

Ferroelectric field effect transistors as a synapse for neuromorphic application

Author(s): M. Lederer, T. Kämpfe, T. Ali, F. Müller, R. Olivo, R. Hoffmann, N. Laleni, K. Seidel
Published in: IEEE Transactions on Electron Devices, Issue 00189383, 2021, ISSN 0018-9383
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/ted.2021.3068716

Highly-Optimized Radar-Based Gesture Recognition System with Depthwise Expansion Module.

Author(s): Mateusz Chmurski; Gianfranco Mauro; Avik Santra; Mariusz Zubert; Gökberk Dagasan
Published in: MDPI Sensors, Issue 00000000, 2021, ISSN 0000-0000
Publisher: MDPI
DOI: 10.3390/s21217298

Effect of Al2O3 interlayers on the microstructure and electrical response of ferroelectric doped HfO 2 thin films

Author(s): Maximilian Lederer, Konrad Seidel, Ricardo Olivo, Thomas Kämpfe, Lukas M. Eng
Published in: Frontiers in Nanotechnology, Issue 00000000, 2022, ISSN 0000-0000
Publisher: Frontiers
DOI: 10.3389/fnano.2022.900379

Increasing Throughput of In-Memory DNN Accelerators by Flexible Layer-wise DNN Approximation

Author(s): C. De la Parra, T. Soliman, A. Guntoro, A. Kumar, N. Wehn
Published in: IEEE Micro, Issue 00000000, 2022, ISSN 0000-0000
Publisher: IEEE
DOI: 10.1109/mm.2022.3196865

First Demonstration of Ultra-High Precision 4Kb 28nm HKMG 1FeFET-1T Based

Author(s): S. De, F. Müller, N. Laleni, T. Soliman, A. Shrivastava, N. Yadav, S. Abdulazhanov, M. Lederer, S. Mojumder, A. Vardar, T. Ali, T. Kirchner, F.-X. Liang, H.-H. Le, Md.A. Baig, D. Lu, K. Seidel, T. Kämpfe
Published in: TechRxiv, Issue 00000000, 2022, ISSN 0000-0000
Publisher: IEEE
DOI: 10.36227/techrxiv.19491212.v1

FELIX: A Ferroelectric FET Based Low Power Mixed-Signal In-Memory Architecture for DNN Acceleration

Author(s): T. Soliman, N. Laleni, T. Kirchner, F. Müller, A. Shrivastava, T. Kämpfe, A. Guntoro, N. Wehn
Published in: ACM Transactions on Embedded Computing Systems, Issue 00000000, 2022, ISSN 0000-0000
Publisher: ACM
DOI: 10.1145/3529760

Spiking Neural Network-Based Radar Gesture Recognition System Using Raw ADC Data

Author(s): M. Arsalan, A. Santra, V. Issakov
Published in: IEEE Sensor Letters, Issue 00000000, 2022, ISSN 0000-0000
Publisher: IEEE
DOI: 10.1109/lsens.2022.3173589

RadarSNN: A Resource Efficient Gesture Sensing System Based on mm-Wave Radar

Author(s): M. Arsalan, A. Santra, V. Issakov
Published in: IEEE Transactions on Microwave Theory and Techniques, Issue 00000000, 2022, ISSN 0000-0000
Publisher: IEEE
DOI: 10.1109/tmtt.2022.3148403

Enabling technologies for the future heterogeneous neuromorphic accelerators

Author(s): Elisa Vianello, Alexandre Valentian
Published in: Journal Neuromorphic Computing and Engineering, Issue 00000000, 2022, ISSN 0000-0000
Publisher: IOP Publishing
DOI: 10.1088/2634-4386/ac4a83

Real-time ultra-low power ECG anomaly detection using an event-driven neuromorphic processor

Author(s): Felix Christian Bauer; Dylan R. Muir; Giacomo Indiveri
Published in: IEEE Transactions on Biomedical Circuits and Systems, Issue 19324545, 2019, ISSN 1932-4545
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tbcas.2019.2953001

Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic processors.

Author(s): Julian Büchel; Dmitrii Zendrikov; Sergio Solinas; Giacomo Indiveri; Dylan R. Muir
Published in: Scientific Reports, Vol 11, Iss 1, Issue 00000000, 2021, ISSN 0000-0000
Publisher: Nature
DOI: 10.1038/s41598-021-02779-x

The SpiNNaker 2 Processing Element Architecture for Hybrid Digital Neuromorphic Computing

Author(s): S. Hoppner, Y. Yan, B. Vogginger, C. Liu, F. Kelber, A. Dixius, S. Scholze, J. Partzsch, M. Stolba, F. Neumarker, G. Ellguth, S. Hartmann, S. Schiefer, T.Hocker, D. Walter, G. Liu, M. Mikaitis, J. Garside, S. Furber, C. Mayr
Published in: arxiv, Issue 00000000, 2022, ISSN 0000-0000
Publisher: arxiv
DOI: 10.48550/arxiv.2103.08392

Book chapters (11)

Feasibility of Wafer Exchange for European Edge AI Pilot Lines

Author(s): A.F. Wandesleben, D. Truffier-Boutry, V. Brackmann, B. Lilienthal-Uhlig, M. Jaysnkar, S. Beckx, I. Madarevic, A. Demarest, B. Hintze, F. Hochschulz, Y. Le Tiec, A. Spessot, F. Nemouchi
Published in: Industrial Artificial Intelligence Technologies and Applications, 2022
Publisher: River Publishers

Emerging In-memory Computing for Neural Networks

Author(s): Nelli Laleni, Taha Soliman, Alptekin Vardar, Thomas Kämpfe
Published in: Embedded Artificial Intelligence, 2022
Publisher: River Publishers

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

Author(s): L. Zhang, D. Borggreve, F. Vanselow, R. Brederlow
Published in: Intelligent Edge-Embedded Technologies for Digitising Industry, 2022
Publisher: River Publishers

Food Ingredients Recognition Through Multi-label Learning

Author(s): Rameez Ismail
Published in: Embedded Artificial Intelligence, 2022
Publisher: River Publishers

Emerging In-memory Computing for Neural Networks

Author(s): N. Laleni, T. Soliman, A. Vardar, T. Kämpfe
Published in: Intelligent Edge-Embedded Technologies for Digitising Industry, 2022
Publisher: River Publishers

Sub-mW Neuromorphic SNN audio processing applications with Rockpool and Xylo

Author(s): Hannah Bos, Dylan Muir
Published in: Embedded Artificial Intelligence, 2022
Publisher: River Publishers

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

Author(s): P. Vijayan, A. Yousefzadeh, M. Sifalakis, R. van Leuken
Published in: Industrial Artificial Intelligence Technologies and Applications, 2022
Publisher: River Publishers

Low-Power Analog In-memory Computing Neuromorphic Circuits

Author(s): Roland Müller
Published in: Embedded Artificial Intelligence, 2022
Publisher: River Publishers

Benchmarking the Epiphany Processor as a Reference Neuromorphic Architecture

Author(s): M. Molendijk, K. Vadivel, F. Corradi, G.-J. van Schaik, A. Yousefzadeh, H. Corporaal
Published in: Industrial Artificial Intelligence Technologies and Applications, 2022
Publisher: River Publishers

An Embedding Workflow for Tiny Neural Networks on ARM Cortex-M0(+) Cores

Author(s): Jianyu Zhao
Published in: Embedded Artificial Intelligence, 2022
Publisher: River Publishers

Technology and Hardware for Neuromorphic Computing

Author(s): Björn Debaillie, Ilja Ocket, and Peter Debacker
Published in: Intelligent Edge-Embedded Technologies for Digitising Industry, 2022
Publisher: River Publishers
DOI: 10.13052/rp-9788770226103

Conference proceedings (46)

Exploiting resiliency for Kernel-wise CNN approximation enabled by adaptive hardware Design

Author(s): C. De la Parra, A. El-Yamany, T. Soliman, A. Kumar, N. Wehn, A. Guntoro,
Published in: IEEE International Symposium on Circuits and Systems (ISCAS), 2021
Publisher: IEEE
DOI: 10.1109/iscas51556.2021.9401517

A Novel DRAM-Based Process-in-Memory Architecture and its Implementation for CNNs

Author(s): Chirag Sudarshan; Taha Soliman; Cecilia De la Parra; Christian Weis; Leonardo Ecco; Matthias Jung; Norbert Wehn; Andre Guntoro
Published in: Asia and South Pacific Design Automation Conference (ASP-DAC), 2021
Publisher: IEEE
DOI: 10.1145/3394885.3431522

Interfacial Layer Engineering to Enhance Endurance and Noise Immunity of FeFETs for IMC Applications

Author(s): Y. Raffel, S. Thunder, M. Lederer, R. Olivo, R. Hoffmann, L. Pirro, S. Beyer, T. Chohan, P.T. Huang, S. De, T. Kämpfe, K. Seidel, J. Heitman
Published in: International Conference on IC Design and Technology (ICICDT), 2022
Publisher: IEEE
DOI: 10.1109/icicdt56182.2022.993311

Tuneable linearity in HfO2 based multilevel FeFETs for neuromorphic computing

Author(s): M. Lederer, T. Kämpfe, T. Ali, K. Seidel
Published in: European Materials Research Society (E-MRS), 2019
Publisher: European Materials Research Society

ReckOn: A 28nm Sub-mm2 Task-Agnostic Spiking Recurrent Neural Network Processor Enabling On-Chip Learning over Second-Long Timescales

Author(s): C. Frenkel, G. Indiveri
Published in: International Solid-State Circuits Conference (ISSCC), 2022
Publisher: IEEE
DOI: 10.1109/isscc42614.2022.9731734

Efficient FeFET crossbar accelerator for binary neural networks

Author(s): T. Soliman, R. Olivo, T. Kirchner, C. De La Parra, M. Lederer, T. Kämpfe, A. Guntoro, N. Wehn
Published in: International Conference on Application-specific Systems, Architectures and Processors (ASAP), 2020
Publisher: IEEE
DOI: 10.1109/asap49362.2020.00027

16kbit 1T1R OxRAM arrays embedded in 28nm FDSOI technology demonstrating low BER, high endurance, and compatibility with core logic transistors

Author(s): L. Grenouillet, N. Castellani, A. Persico, V. Meli, S. Martin, O. Billoint, R. Segaud, S. Bernasconi, C. Pellissier, C. Jahan, C. Charpin-Nicolle, P. Dezest, C. Carabasse, P. Besombes, S. Ricavy, N.-P. Tran, A. Magalhaes-Lucas, A. Roman, C. Boixaderas, T. Magis, M. Bedjaoui, M. Tessaire, A. Seignard, F. Mazen, S. Landis, E. Vianello, G. Molas, F. Gaillard, J. Arcamone, E. Nowak
Published in: IEEE International Memory Workshop (IMW), 2021
Publisher: IEEE
DOI: 10.1109/imw51353.2021.9439607

Integration of BEoL Compatible 1T1C FeFET Memory Into an Established CMOS Technology

Author(s): D. Lehninger, H. Mähne, T. Ali, R. Hoffmann, R. Olivo, M. Lederer, K. Mertens, T. Kämpfe, K. Biedermann, M. Landwehr, A. Heinig, D. Wang, Y. Shen, K. Bernert, S. Thiem, K. Seidel
Published in: International Memory Workshop (IMW), 2022
Publisher: IEEE
DOI: 10.1109/imw52921.2022.9779252

Microstructural implications for neuromorphic synapses based on ferroelectric hafnium oxide

Author(s): F. Müller , M. Lederer, R. Olivo, A. Reck, T. Ali, K. Seidel, T. Kämpfe
Published in: IEEE International Symposium on Applications of Ferroelectrics (ISAF), 2021
Publisher: IEEE
DOI: 10.1109/isaf51943.2021.9477384

LiMoSeg: Real-time Bird's Eye View based LiDAR Motion Segmentation

Author(s): S. Mohapatra, M. Hodaei, S. Yogamani, S. Milz, H. Gotzig, M. Simon, H. Rashed, P. Maeder
Published in: International Conference on Computer Vision Theory and Applications (VISAPP), 2022
Publisher: arxiv
DOI: 10.48550/arxiv.2111.04875

Efficient Hardware Approximation for Bit-Decomposition Based Deep Neural Network Accelerators

Author(s): T. Soliman, A. Eldebiky, C. De La Parra, A. Guntoro, N. Wehn
Published in: International System-on-Chip Conference (SOCC), 2022
Publisher: IEEE
DOI: 10.1109/socc56010.2022.9908072

Training for temporal sparsity in deep neural networks, application in video processing

Author(s): A. Yousefzadeh, M. Sifalakis
Published in: International Joint Conference on Neural Networks (IJCNN), 2021
Publisher: IEEE
DOI: 10.48550/arxiv.2107.07305

Crystallographic phase and orientation mapping of ferroelectric HfO2 thin films by transmission Kikuchi diffraction

Author(s): M. Lederer, T. Kämpfe, C. Mart, T. Ali, L. Roy, K. Seidel
Published in: Dresden Nanoanalysis Symposium (DNS), 2019
Publisher: Dresden Nanoanalysis Symposium

Event Camera Data Classification Using Spiking Networks with Spike-Timing-Dependent Plasticity

Author(s): A. Safa, I. Ocket, A. Bourdoux, H. Sahli, Francky Catthoor, Georges G.E. Gielen
Published in: International Joint Conference on Neural Networks (IJCNN), 2022
Publisher: IEEE
DOI: 10.1109/ijcnn55064.2022.9892362

In-Memory Nearest Neighbor Search with FeFET Multi-Bit Content-Addressable Memories

Author(s): Arman Kazemi; Mohammad Mehdi Sharifi; Ann Franchesca Laguna; Franz Muller; Ramin Rajaei; Ricardo Olivo; Thomas Kampfe; Michael Niemier; X. Sharon Hu
Published in: Design, Automation & Test in Europe (DATE), 2021
Publisher: IEEE
DOI: 10.48550/arxiv.2011.07095

In-Memory Computing exceeding 10000 TOPS/W using Ferroelectric Field Effect Transistors for EdgeAI Applications

Author(s):  N. Laleni, T. Soliman, F. Muller, S. Mojumder, T. Kirchner, M. Lederer, T. Hoffmann, A. Guntoro, N. Wehn, T. Kampfe
Published in: MikroSystemTechnik Congress (MSTK), 2021
Publisher: IEEE

Ultra low power flexible precision FeFET based analog in-memory computing

Author(s): T. Soliman, F. Müller, T. Kirchner, T. Hoffmann, H. Ganem, E. Karimov, T. Ali, M. Lederer, C. Sudarshan, T. Kämpfe, A. Guntoro, N. Wehn
Published in: IEEE International Electron Devices Meeting (IEDM), 2020
Publisher: IEEE
DOI: 10.1109/iedm13553.2020.9372124

Semi-empirical and Verilog-A compatible compact model for ferroelectric hysteresis behavior

Author(s): M. Lederer, O. R. Olivo, Y. Nandakishor, de Sourav, K. Seidel, E. Lukas, T. Kämpfe
Published in: International Conference on Simulation of Semiconductor Processes and Devices, 2022
Publisher: IEEE

Memory Array Demonstration of fully integrated 1T-1C FeFET concept with separated ferroelectric MFM device in interconnect layer

Author(s): K. Seidel, D. Lehninger, R. Hoffmann, T. Ali, M. Lederer, R. Revello, K. Mertens, K. Biedermann, Y. Shen, D. Wang, M. Landwehr, A. Heinig, T. Kämpfe, H. Mähne, K. Bernert, S. Thiem
Published in: VLSI Symposium on Technology & Circuits, 2022
Publisher: IEEE
DOI: 10.1109/vlsitechnologyandcir46769.2022.9830141

A Ferroelectric FET based in-memory architecture for multi-precision neural networks

Author(s): T. Soliman, R. Olivo, M. Lederer, T. Kämpfe, T. Kirchner, A. Guntoro, N. Wehn
Published in: IEEE International System-on-Chip Conference (SOCC), 2020
Publisher: IEEE
DOI: 10.1109/socc49529.2020.9524750

Choosing the right combination of technology, design and tools is key for successful Edge AI solutions

Author(s): Alexandre Valentian
Published in: AI Expo, 2020
Publisher: ValleyML

Impact of the ferroelectric and interface layer optimization in a MFIS HZO based Ferroelectric Tunnel Junction for optimal neuromorphic based synaptic storage

Author(s): T. Ali, A. Sünbül, K. Mertens, R. Revello, M. Lederer, D. Lehninger, F. Müller, K. Kühnel, M. Rudolph, S. Oehler, R. Hoffmann, K. Zimmermann, K. Biedermann, M. Czernohorsky, K. Seidel, T. Kämpfe, L.M. Eng
Published in: Silicon Nanoelectronics Workshop (SNW), 2021
Publisher: IEEE
DOI: 10.1109/snw51795.2021.00032

Network insensitivity to parameter noise via adversarial regularization

Author(s): Büchel, Julian; Faber, Fynn; Muir, Dylan R.
Published in: International Conference on Learning Representations (ICLR), 2022
Publisher: ICLR
DOI: 10.48550/arxiv.2106.05009

Performance models and energy-optimal scheduling of DNNs on many-core hardware with dynamic power management

Author(s): B. Vogginger, F. Kelber, S.B. Sampath, J. Partzsch, C. Mayr
Published in: Workshop on Compilers, Deployment, and Tooling for Edge AI (CDAI), 2022
Publisher: IEEE

Quantization Considerations of Dense Layers in Convolutional Neural Networks for Resistive Crossbar Implementation

Author(s): Lei Zhang; David Borggreve; Frank Vanselow; Ralf Brederlow
Published in: International Conference on Modern Circuits and Systems Technologies (MOCAST), 2020
Publisher: IEEE
DOI: 10.1109/mocast49295.2020.9200280

Spectrum-based Single-Snapshot Super-Resolution Direction-of-Arrival Estimation using Deep Learning

Author(s): M. Gall, M. Gardill, T. Horn, J. Fuchs
Published in: German Microwave Conference (GeMiC), 2020, ISBN 978-3-9820-3971-8
Publisher: IEEE

Learning representations for neural networks applied to spectrum-based direction-of-arrival estimation for automotive radar

Author(s): M. Gall, M. Gardill, J. Fuchs, T. Horn
Published in: MTT-S International Microwave Symposium (IMS), 2020
Publisher: IEEE
DOI: 10.1109/ims30576.2020.9223841

Delta Activation Layer exploits temporal sparsity for efficient embedded video processing

Author(s): Amirreza Yousefzadeh, Manolis Sifalakis
Published in: International Joint Conference on Neural Networks (IJCNN), 2022
Publisher: IEEE
DOI: 10.1109/ijcnn55064.2022.9892578

Resource Efficient Gesture Sensing Based on FMCW Radar using Spiking Neural Networks

Author(s): M. Arsalan,M. Chmurski, A. Santra, M. El-Masry, R. Weigel, V. Issakov
Published in: IEEE MTT-S International Microwave Symposium (IMS), 2021
Publisher: IEEE
DOI: 10.1109/ims19712.2021.9574994

Contactless Low Power Air-Writing Based on FMCW Radar Networks Using Spiking Neural Networks

Author(s): M. Arsalan, A. Santra, V. Issakov
Published in: IEEE International Conference on Machine Learning an Application (ICMLA), 2022
Publisher: IEEE

FeFET versus DRAM based PIM Architectures: A Comparative Study

Author(s): C. Sudarshan, T. Soliman, T. Kämpfe, C. Weis, N. Wehn
Published in: IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC), 2022
Publisher: IEEE

Brain-inspired strategies for optimizing the design of neuromorphic sensory-processing systems

Author(s): Giacomo Indiveri
Published in: IEEE International Electron Devices Meeting (IEDM), 2021
Publisher: IEEE

Les approches hardware de l'IA économe en énergie

Author(s): Alexandre Valentian
Published in: Planet Tech’Care, 2021
Publisher: Planet Tech’Care

Continuously Learning to Detect People using Event Cameras: A Bio-inspired Visual System for Drones

Author(s): A. Safa, I. Ocket, A. Bourdoux, H. Sahli, Francky Catthoor, Georges G.E. Gielen
Published in: International Conference on Intelligent Robots and Systems (IROS), 2022
Publisher: IEEE
DOI: 10.48550/arxiv.2202.08023

Radar-Based Gesture Recognition System using Spiking Neural Network

Author(s): M. Arsalan,M. Chmurski, A. Santra, M. El-Masry, G. Mauro, V. Issakov
Published in: IEEE International Conference on Emerging Technologies and Factory Automation, 2021
Publisher: IEEE
DOI: 10.1109/etfa45728.2021.9613183

Influences on the nonlinearity of ferroelectric synapses for neuromorphic computing

Author(s): M. Lederer, T. Kämpfe, T. Ali, Y. Gao, K. Seidel
Published in: International Symposium on Integrated Functionalities (ISIF), 2019
Publisher: International Symposium on Integrated Functionalities

High-density 3D monolithically integrated multiple 1T1R multi-level-cell for neural networks

Author(s): E. Esmanhotto, L. Brunet, N. Castellani, D. Bonnet, T. Dalgaty, L. Grenouillet, D.R.B Ly, C. Cagli, C. Vizioz, N. Allouti, F. Laulagnet, O. Gully, N. Bernard-Henriques, M. Bocquet, G. Molas, P. Vivet, D. Querlioz, J.M. Portal, S. Mitra, F. Andrieu, C. Fenouillet-Beranger, E. Nowak, E. Vianello
Published in: IEEE International Electron Devices Meeting (IEDM), 2020
Publisher: IEEE
DOI: 10.1109/iedm13553.2020.9372019

Adaptable approximation based on bit decomposition for Deep Neural Network accelerators

Author(s): T. Soliman, C. De La Parra, A. Guntoro and N. Wehn
Published in: International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2021
Publisher: IEEE
DOI: 10.1109/aicas51828.2021.9458456

Exploiting FeFET Switching Stochasticity for Low-Power Reconfigurable Physical Unclonable Function

Author(s): X. Guo, X. Ma, F. Müller, R. Olivo, J. Wu, K. Ni, T. Kämpfe, Y. Liu, H. Yang, X. Li
Published in: European Solid State Circuits Conference (ESSCIRC), 2021
Publisher: IEEE
DOI: 10.1109/esscirc53450.2021.9567880

SpikiLi: A Spiking Simulation of LiDAR based Real-time Object Detection for Autonomous Driving

Author(s): S. Mohapatra, T. Mesquida, M. Hodaei, S. Yogamani, H. Gotzig, P. Maeder
Published in: International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP), 2022
Publisher: IEEE
DOI: 10.1109/ebccsp56922.2022.9845647

Impact of Temperature on Reliability of MFIS HZO-based Ferroelectric Tunnel Junctions

Author(s): A. Sünbül, T. Ali, Tarek, R. Hoffmann, R. Revello, Y. Raffel, P. Duhan, D. Lehninger, K. Kühnel, M. Rudolph, S. Oehler, P. Schramm, M. Czernohorsky, K. Seidel, T. Kämpfe, L.M. Eng
Published in: International Reliability Physics Symposium (IRPS), 2022
Publisher: IEEE
DOI: 10.1109/irps48227.2022.9764585

28nm High-K-Metal Gate Ferroelectric Field Effect Transistors Based Artificial Synapses

Author(s): S. De, Y. Raffel, S. Thunder, F. Müller, M. Lederer, T. Kämpfe
Published in: International Electron Devices & Materials Symposium (IEDMS), 2022
Publisher: IEEE

Impact of parasitic wire resistance on accuracy and size of resistive crossbars

Author(s): L. Zhang, D. Borggreve, F. Vanselow, R. Brederlow
Published in: IEEE International Symposium on Circuits and Systems (ISCAS), 2021
Publisher: IEEE
DOI: 10.1109/iscas51556.2021.9401279

BEVDetNet: Bird's Eye View LiDAR Point Cloud based Real-time 3D Object Detection for Autonomous Driving

Author(s): S. Mohapatra, S. Yogamani, H. Gotzig, S. Milz, P. Mader
Published in: IEEE Intelligent Transportation Systems Conference (ITSC), 2021
Publisher: IEEE
DOI: 10.48550/arxiv.2104.10780

SENeCA: Scalable Energy-efficient Neuromorphic Computer Architecture

Author(s): A. Yousefzadeh, G.-J. van Schaik, M. Tahghighi, P. Detterer, S. Traferro, M. Hijdra, J. Stuijt, F. Corradi, M. Sifalakis, M. Konijnenburg
Published in: Artificial Intelligence Circuit and Systems (AICAS), 2022
Publisher: IEEE
DOI: 10.1109/aicas54282.2022.9870025

Influence of microstructure on the variability and current percolation paths in ferroelectric hafnium oxide based neuromorphic FeFET synapses

Author(s): M. Lederer, F. Müller, A. Varanasi, R. Olivo, K. Mertens, D. Lehninger, Y. Raffel, R. Hoffmann, T. Ali, K. Seidel, T. Kämpfe, L.M. Eng
Published in: Silicon Nanoelectronics Workshop (SNW), 2021
Publisher: IEEE
DOI: 10.1109/snw51795.2021.00033

Thesis and dissertations (2)

A comparative study on Unsupervised Deep Learning Methods for X-Ray Image Denoising with Multi-Image Self2Self and Single Frequency Denoising

Author(s): Cagla Sozen
Published in: MSc dissertation, 2022
Publisher: TUe

Electron Devices based on Ferroelectric Hafnium Oxide

Author(s): Thomas Kämpfe
Published in: Thesis (habilitation), 2022
Publisher: ResearchGate

Other (16)

Poster on SENeCA, Tempo

Author(s): G. van Schaik
Published in: ICT.OPEN2022, 2022
Publisher: ictopen.nl

The international workshop on edge artificial intelligence for industrial applications (EAI4IA)

Author(s): AI4DI, TEMPO, ANDANTE
Published in: Workshop announcement, 2022
Publisher: vimeo

Stromsparende Chips für Künstliche Intelligenz

Author(s): TEMPO consortium
Published in: Press release Fraunhofer Journal, 2020
Publisher: Fraunhofer Journal

TEMPO booth poster

Author(s): G. van Schaik
Published in: Neuromorphic Computing Netherlands (NCN2021), 2021
Publisher: cwi

Ultra-Low Power Computing with AI

Author(s): Thomas Kämpfe
Published in: WIOT Day Automotive & IIOT Livestream, 2022
Publisher: WIOT Day Automotive & IIOT

Bio-inspired neuromorphic circuits architectures

Author(s): Giacomo Indiveri
Published in: tinyML EMEA Technical Forum, 2021
Publisher: tinyML

Efficient hardware approximation for bit-decomposition based Deep Neural Network

Author(s): T. Soliman, A. Eldebiky, C. De La Parra, A. Guntoro, N. Wehn
Published in: Design Automation Conference (DAC), 2021
Publisher: IEEE

Embedded Artificial Intelligence (EAI) – Devices, Systems, and Industrial Applications

Author(s): AI4DI, TEMPO, ANDANTE
Published in: Workshop announcement, 2022
Publisher: vimeo

TEMPO AI chip tapes out with videantis processor platform

Author(s): Videantis
Published in: Press release videantis, 2022
Publisher: Videantis

Technologies and hardware for neuromorphic computing

Author(s): Björn Debaillie
Published in: The international workshop on edge artificial intelligence for industrial applications (EAI4IA), 2022
Publisher: TEMPO

Neuromorphic Intelligence: brain inspired artificial intelligence circuits and systems for extreme edge computing applications

Author(s): Giacomo Indiveri
Published in: Invited lecture Dipartimento Politecnico di Ingegneria e Architettura, University of Udine, 2021
Publisher: University of Udine

Poster on SENeCA, Tempo

Author(s): A. Yousefzadeh
Published in: TinyML summit 2022, 2022
Publisher: TinyML

Neuromorphic Intelligence: brain-inspired strategies for efficient computation in spiking neural networks

Author(s): Giacomo Indiveri
Published in: International Workshop on Artificial life and evolutionary computation, 2021
Publisher: International Workshop on Artificial life and evolutionary computation

How to get a server rack in your back pocket?

Author(s): TEMPO consortium
Published in: Imec press release, 2019
Publisher: imec

Technologies and hardware for neuromorphic computing

Author(s): Thomas Kämpfe
Published in: International Conference on IC Design and Technology, 2022
Publisher: IEEE

SynSense joins TEMPO, a large EU-funded industry consortium for Neuromorphic technology

Author(s): SynSense
Published in: SynSense press release, 2019
Publisher: SynSense

Monographic books (2)

Industrial Artificial Intelligence Technologies and Applications

Author(s): Ovidiu Vermesan, Franz Wotawa, Mario Diaz Nava, Björn Debaillie
Published in: Industrial Artificial Intelligence Technologies and Applications, 2022
Publisher: River Publishers
DOI: 10.13052/rp-9788770227902

Embedded Artificial Intelligence (EAI) – Devices, Systems, and Industrial Applications

Author(s): Ovidiu Vermesan, Björn Debaillie, Mario Diaz Nava
Published in: Embedded Artificial Intelligence, 2022
Publisher: River Publishers