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Publications

The scientific results of TEMPO are published in a broad range of books, journals, conference proceedings and academic theses. Discover all the project publications here.

Publications

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

  • M. Arsalan, A. Santra, V. Issakov
  • 12 - 14.12.2022
  • 21st IEEE International Conference on Machine Learning and Applications (ICMLA 2022)
  • Link to document

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

  • A. Safa, I. Ocket, A. Bourdoux, H. Sahli, Francky Catthoor, Georges G.E. Gielen
  • 23 - 27.10.2022
  • International Conference on Intelligent Robots and Systems (IROS)
  • Link to document

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

  • Bernhard Vogginger, Florian Kelber, Shambhavi Balamuthu Sampath, Johannes Partzsch, Christian Mayr
  • 13.10.2022
  • Workshop on Compilers, Deployment, and Tooling for Edge AI
  • Link to document

FeFET versus DRAM based PIM Architectures: A Comparative Study

  • Chirag Sudarshan, Taha Soliman, Thomas Kämpfe, Christian Weis, Norbert Wehn
  • 03 - 05.10.2022
  • IEEE International Conference on Very Large Scale Integration (VLSI-SoC)
  • Link to document

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

  • Sourav De, Yannick Raffel, Sunanda Thunder, Franz Müller, Maximilian Lederer, Thomas Kämpfe
  • 27 - 28.09.2022
  • International Electron Devices & Materials Symposium (IEDMS 2022)
  • Link to document

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

  • Y. Raffel, S. Thunder, M. Lederer, R. Revello Olivo, R. Hoffmann, L. Pirro, S. Beyer, T. Chohan, P. Huang, S. De, T. Kämpfe, K. Seidel, J. Heitmann
  • 21 - 23.09.2022
  • International Conference on IC Design and Technology (ICICDT)
  • Link to document

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

  • M. Lederer, O. R. Olivo, Y. Nandakishor, de Sourav, K. Seidel, E. Lukas, T. Kämpfe
  • 06 - 08.09.2022
  • International Conference on Simulation of Semiconductor Processes and Devices (SISPAD 2022)
  • Link to document

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

  • T. Soliman, A. Eldebiky, C. De La Parra, A. Guntoro, N. Wehn
  • 05 - 08.09.2022
  • International System-on-Chip Conference (SOCC)
  • Link to document

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

  • A. Safa, I. Ocket, A. Bourdoux, H. Sahli, Francky Catthoor, Georges G.E. Gielen
  • 18 - 23.07.2022
  • International Joint Conference on Neural Networks (IJCNN)
  • Link to document

Delta Activation Layer exploits temporal sparsity for efficient embedded video processing

  • Amirreza Yousefzadeh, Manolis Sifalakis
  • 18 - 23.07.2022
  • International Joint Conference on Neural Networks (IJCNN)
  • Link to document

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

  • S. Mohapatra, T. Mesquida, M. Hodaei, S. Yogamani, H. Gotzig, P. Maeder
  • 22 - 24.06.2022
  • International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP)
  • Link to document

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

  • 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
  • 13 - 17.06.2022
  • VLSI Symposium on Technology & Circuits (VLSI 2022)
  • Link to document

SENeCA: Scalable Energy-efficient Neuromorphic Computer Architecture

  • Amirreza Yousefzadeh, Gert-Jan van Schaik, Mohammad Tahghighi, Paul Detterer, Stefano Traferro, Martijn Hijdra, Jan Stuijt, Federico Corradi, Manolis Sifalakis, Mario Konijnenburg
  • 13 - 15.06.2022
  • Artificial Inteligence Circuit and Systems (AICAS)
  • Link to document

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

  • David Lehninger, Hannes Mähne, Tarek Ali, Raik Hoffmann, Ricardo Olivo, Maximilian Lederer, Konstantin Mertens, Thomas Kämpfe, Kati Biedermann, Matthias Landwehr, Andreas Heinig, Defu Wang, Yukai Shen, Kerstin Bernert, Steffen Thiem, Konrad Seidel
  • 16 - 18.05.2022
  • 2022 IEEE International Memory Workshop (IMW)
  • Link to document

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

  • Ayse Sünbül, Tarek Ali, Raik Hoffmann, Ricardo Revello, Yannick Raffel, Pardeep Duhan, David Lehninger, Kati Kühnel, Matthias Rudolph, Sebastian Oehler, Philipp Schramm, Malte Czernohorsky, Konrad Seidel, Thomas Kämpfe, Lukas M. Eng
  • 02.05.2022
  • 2022 IEEE International Reliability Physics Symposium (IRPS)
  • Link to document

SpikiLi: A Spiking Simulation of Lidar based Object Detection

  • S. Mohapatra, T. Mesquida, M. Hodaei, S. Yogamani, H. Gotzig, P. Mäder
  • 31.04.2022
  • First International Workshop on Event Sensing and Neuromorphic
  • Link to document

Network insensitivity to parameter noise via adversarial regularization

  • Julian Büchel, Fynn Faber, Dylan R. Muir
  • 25 - 29.04.2022
  • International Conference on Learning Representations (ICLR)
  • Link to document

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

  • Charlotte Frenkel, Giacomo Indiveri
  • 20 - 24.02.2022
  • International Solid-State Circuits Conference (ISSCC)
  • Link to document

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

  • S. Mohapatra, M. Hodaei, S. Yogamani, S. Milz, H. Gotzig, M. Simon, H. Rashed, P. Maeder
  • 06.02.2022
  • International Conference on Computer Vision Theory and Applications
  • Link to document

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

  • Giacomo Indiveri
  • 14.12.2021
  • IEEE International Electron Devices Meeting (IEDM)
  • Link to document

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

  • N. Laleni, T. Soliman, F. Müller, S. Mojumder, T. Kirchner, M. Lederer, T. Hoffmann, A. Guntoro, N. Wehn, T. Kämpfe
  • 08 - 10.11.2021
  • MikroSystemTechnik Congress
  • Link to document

In-Memory Computing mit ferroelektischen Feldeffekttransistoren für EdgeAI Anwendungen

  • Nelli Laleni, Taha Soliman, Shaown Mojumder, Tobias Kirchner, Maximilian Lederer, Andre Guntoro, Norbert Wehn, Thomas Kämpfe
  • 08 - 10.11.2021
  • MikroSystemTechnik Kongress
  • Link to document

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

  • S. Mohapatra, S. Yogamani, H. Gotzig, S. Milz, P. Mader
  • 19 - 22.09.2021
  • IEEE Intelligent Transportation Systems Conference (ITSC)
  • Link to document

Radar-Based Gesture Recognition System using Spiking Neural Network

  • Ing Jyh Tsang, Federico Corradi, Manolis Sifalakis, Werner Van Leekwijck, Steven Latré
  • 07.09.2021
  • IEEE International Conference on Emerging Technologies and Factory Automation
  • Link to document

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

  • Xinrui Guo, Xiaoyang Ma, Franz Müller, Ricardo Olivo, Juejian Wu, Kai Ni, Thomas Kämpfe, Yongpan Liu, Huazhong Yang, Xueqing Li
  • 06 - 09.09.2021
  • European Solid State Circuits Conference (ESSCIRC)
  • Link to document

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

  • Muhammad Arsalan, Mateusz Chmurski, Avik Santra, Moamen El-Masry, Robert Weigel, Vadim Issakov
  • 27.08.2021
  • IEEE MTT-S International Microwave Symposium (IMS)
  • Link to document

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

  • 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
  • 13.06.2021
  • Silicon Nanoelectronics Workshop (SNW)
  • Link to document

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

  • Tarek Ali, Ayse Sünbül, Konstantin Mertens, Ricardo Revello Olivo, Maximilian Lederer, David Lehninger, Franz Müller, Kati Kühnel, Matthias Rudolph, Sebastian Oehler, Raik Hoffmann, Katrin Zimmermann, Philipp Schramm, Kati Biedermann, Malte Czernohorsky, Konrad Seidel, Thomas Kämpfe, Lukas M. Eng
  • 13.06.2021
  • Silicon Nanoelectronics Workshop (SNW)
  • Link to document

Adaptable approximation based on bit decomposition for Deep Neural Network accelerators

  • T. Soliman, C. De La Parra, A. Guntoro, N. Wehn
  • 06 - 09.06.2021
  • International Conference on Artificial Intelligence Circuits and Systems (AICAS)
  • Link to document

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

  • Cecilia De La Parra, Ahmed El-Yamany, Taha Soliman, Akash Kumar, Norbert Wehn, Andre Guntoro
  • 22 - 28.05.2021
  • IEEE International Symposium on Circuits and Systems (ISCAS)
  • Link to document

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

  • Lei Zhang, David Borggreve, Frank Vanselow, Ralf Brederlow
  • 22 - 28.05.2021
  • IEEE International Symposium on Circuits and Systems (ISCAS)
  • Link to document

Microstructural implications for neuromorphic synapses based on ferroelectric hafnium oxide

  • Franz Müller, Maximilian Lederer, Ricardo Revello Olivo, André Reck, Tarek Ali, Konrad Seidel, Thomas Kämpfe
  • 16 - 21.05.2021
  • IEEE International Symposium on Applications of Ferroelectrics (ISAF)
  • Link to document

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

  • L. Grenouillet, N. Castellani, A. Persico et al.
  • 16 - 19.05.2021
  • 2022 IEEE International Memory Workshop (IMW)
  • Link to document

Les approches hardware de l'IA économe en énergie

In-Memory nearest neighbor search with FeFET multi-bit content-addressable memories

  • Arman Kazemi, Mohammad Mehdi Sharifi, Ann Franchesca Laguna, Franz Müller, Ramin Rajaei, Ricardo Olivo, Thomas Kämpfe, Michael Niemier, X. Sharon Hu
  • 01 - 05.02.2021
  • Design, Automation & Test in Europe (DATE)
  • Link to document

A novel DRAM-based process-in-memory architecture and its implementation for CNNs

  • Taha Soliman, Chirag Sudarshan, Cecilia De La Parra, Christian Weis, Leonardo Ecco, Matthias Jung, Norbert Wehn, Andre Guntoro
  • 18 - 21.01.2021
  • Asia and South Pacific Design Automation Conference (ASP-DAC)
  • Link to document

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

  • Eduardo Esmanhotto, Laurent Brunet, Niccolo Castellani, Djohan Bonnet, Thomas Dalgaty, Laurent Grenouillet, Denys R B Ly, Carlo Cagli, Christian Vizioz, Nacima Allouti, Fabien Laulagnet, Olivier Gully, Nathalie Bernard-Henriques, Marc Bocquet, Gabriel Molas, Pascal Vivet, Damien Querlioz, Jean-Michel Portal, Subhasish Mitra, François Andrieu, Claire Fenouillet-Beranger, Etienne Nowak, Elisa Vianello
  • 12 - 18.12.2020
  • IEEE International Electron Devices Meeting (IEDM)
  • Link to document

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

  • Taha Soliman, Franz Müller, Tobias Kirchner, Tudor Hoffmann, Heba Ganem, Emil Karimov, Tarek Ali, Maximilian Lederer, Chirag Sudarshan, Thomas Kämpfe, Andre Guntoro, Norbert Wehn
  • 12 - 18.12.2020
  • IEEE International Electron Devices Meeting (IEDM)
  • Link to document

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

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

  • Taha Soliman, Ricardo Olivo, Maximilian Lederer, Thomas Kämpfe, Tobias Kirchner, Andre Guntoro, Norbert Wehn
  • 20.09.2020
  • IEEE International System-on-Chip Conference (SOCC)
  • Link to document

Quantization considerations of dense layers in convolutional neural networks for resistive crossbar implementation

  • Lei Zhang, David Borggreve, Frank Vanselow, Ralf Brederlow
  • 07 - 09.09.2020
  • International Conference on Modern Circuits and Systems Technologies (MOCAST)
  • Link to document

Efficient FeFET crossbar accelerator for binary neural networks

  • Taha Soliman, Ricardo Olivo, Tobias Kirchner, Cecilia De La Parra, Maximilian Lederer, Thomas Kämpfe, Andre Guntoro, Norbert Wehn
  • 06 - 08-07.2020
  • International Conference on Application-specific Systems, Architectures and Processors (ASAP)
  • Link to document

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

  • Maximilian Gall, Markus Gardill, Jonas Fuchs, Thomas Horn
  • 23 - 25.06.2020
  • MTT-S International Microwave Symposium (IMS)
  • Link to document

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

  • Maximilian Gall, Markus Gardill, Thomas Horn, Jonas Fuchs
  • 09 - 11.03.2020
  • German Microwave Conference (GeMiC)
  • Link to document

Tuneable linearity in HfO2 based multilevel FeFETs for neuromorphic computing

  • Maximilian Lederer, Thomas Kämpfe, Tarek Ali, Konrad Seidel
  • 16 - 19.09.2019
  • European Materials Research Society (E-MRS)
  • Link to document

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

  • Maximilian Lederer, Thomas Kämpfe, Clemens Mart, Tarek Ali, Konrad Seidel
  • 30.08.2019
  • Dresden Nanoanalysis Symposium (DNS)
  • Link to document

Influences on the nonlinearity of ferroelectric synapses for neuromorphic computing

  • Maximilian Lederer, Thomas Kämpfe, Tarek Ali, Yuan Gao, Konrad Seidel
  • 11 - 14.08.2019
  • International Symposium on Integrated Functionalities (ISIF)
  • Link to document

SPICE compatible semi-empirical compact model for ferroelectric hysteresis

  • M. Lederer, R. Olivo, N. Yadav, S. De, K. Seidel, L. M. Eng, T. Kämpfe
  • 01.01.2023
  • ScienceDirect
  • Link to document

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

  • T. Soliman, N. Laleni, T. Kirchner, F. Müller, A. Shrivastava, T. Kämpfe, A. Guntoro, N. Wehn
  • 18.10.2022
  • ACM Transactions on Embedded Computing Systems
  • Link to document

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

  • M. Arsalan, A. Santra, V. Issakov
  • Applied Intelligence

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

  • Arman Kazemi, Franz Müller, Mohammad Mehdi Sharifi, Hamza Errahmouni, Gerald Gerlach, Thomas
  • Scientific Reports Nature Springer

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

  • Yannick Raffel, Sourav De, Maximilian Lederer, Ricardo Revello Olivo, Raik Hoffmann, Sunanda Thunder, Luca Pirro, Sven Beyer, Talha Chohan, Thomas Kämpfe,
  • ACS Applied Electronic Materials
  • Link to document

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

  • S. De, F. Müller, N. Laleni, M. Lederer, Y. Raffel, S. Mojumder, S. Abdulazhanov, T. Ali, S. Dünkel, S. Beyer, K. Seidel, T. Kämpfe
  • IEEE Electron Device Letters

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

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

Food Ingredients Recognition Through Multi-label Learning

Low-power Neuromorphic Auditory Processing - Silicon to Applications

Low-Power Vertically Stacked One Time Programmable Multi-bit IGZO-Based BEOL Compatible Ferroelectric TFT Memory Devices with Lifelong Retention

Tools and Methodologies for Edge-AI Inference Accelerators

Low-Power Analog In-memory Computing Neuromorphic Circuits

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

  • Ovidiu Vermesan, Björn Debaillie, Mario Diaz Nava
  • 19.09.2022
  • Embedded Artificial Intelligence
  • Link to document

Emerging In-memory Computing for Neural Networks

  • Nelli Laleni, Taha Soliman, Alptekin Vardar, Thomas Kämpfe
  • 19.09.2022
  • Embedded Artificial Intelligence
  • Link to document

The SpiNNaker 2 Processing Element Architecture for Hybrid Digital Neuromorphic Computing

  • 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
  • 15.08.2022
  • arXiv
  • Link to document

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

  • Maximilian Lederer, Konrad Seidel, Ricardo Olivo, Thomas Kämpfe, Lukas M. Eng
  • 11.08.2022
  • Frontiers in Nanotechnology
  • Link to document

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

  • C. De la Parra, T. Soliman, A. Guntoro, A. Kumar, N. Wehn
  • 05.08.2022
  • IEEE Micro
  • Link to document

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

  • Sourav De, Franz Müller, Hoang-Hiep Le, Maximilian Lederer, Yannick Raffel, Tarek Ali, Darsen Lu, Thomas Kämpfe
  • 01.08.2022
  • IEEE Journal of the Electron Device Society
  • Link to document

28nm HKMG Based Current Limited FeFET Crossbar-Array for Inference Application

  • S. De, F. Müller, S. Thunder, S. Abdulazhanov, N. Laleni, M. Lederer, T. Ali, Y. Raffel, S. Dünkel, S. Mojumder, S. Beyer, K. Seidel, T. Kämpfe
  • 01.08.2022
  • IEEE Transactions on Electron Devices
  • Link to document

Feasibility of Wafer Exchange for European Edge AI Pilot Lines

  • 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
  • 26.06.2022
  • Industrial Artificial Intelligence Technologies and Applications
  • Link to document

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

  • P. Vijayan, A. Yousefzadeh, M. Sifalakis, R. van Leuken
  • 26.06.2022
  • Industrial Artificial Intelligence Technologies and Applications
  • Link to document

Benchmarking the Epiphany Processor as a Reference Neuromorphic Architecture

  • M. Molendijk, K. Vadivel, F. Corradi, G.-J. van Schaik, A. Yousefzadeh, H. Corporaal
  • 26.06.2022
  • Industrial Artificial Intelligence Technologies and Applications
  • Link to document

Industrial Artificial Intelligence Technologies and Applications

  • Ovidiu Vermesan, Franz Wotawa, Mario Diaz Nava, Björn Debaillie
  • 26.06.2022
  • Industrial Artificial Intelligence Technologies and Applications
  • Link to document

Ultra-Low Power and Area Efficient In-Memory Computing for Edge AI Applications

  • N. Laleni, T. Soliman, C. de la Parra, T. Kirchner, F. Müller, M. Lederer, D. Sourav, T. Kämpfe, T. Jang
  • 26.06.2022
  • Intelligent Edge-Embedded Technologies for Digitising Industry
  • Link to document

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

  • L. Zhang, D. Borggreve, F. Vanselow, R. Brederlow
  • 26.06.2022
  • Intelligent Edge-Embedded Technologies for Digitising Industry
  • Link to document

Technology and Hardware for Neuromorphic Computing

  • Björn Debaillie, Ilja Ocket, Peter Debacker
  • 26.06.2022
  • Intelligent Edge-Embedded Technologies for Digitising Industry
  • Link to document

Emerging In-memory Computing for Neural Networks

  • N. Laleni, T. Soliman, A. Vardar, T. Kämpfe
  • 26.06.2022
  • Intelligent Edge-Embedded Technologies for Digitising Industry
  • Link to document

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

First Demonstration of Ultra-High Precision 4Kb 28nm HKMG 1FeFET-1T Based Memory Array Macro for Highly Scaled Deep Learning Applications

  • 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
  • 04.04.2022
  • TechRxiv
  • Link to document

RadarSNN: A resource efficient gesture sensing system based on mm-wave radar

  • M. Arsalan, A. Santra, V. Issakov
  • 23.02.2022
  • IEEE Transactions on Microwave Theory and Techniques
  • Link to document

2022 Roadmap on Neuromorphic Computing and Engineering

  • D. V. Christensen, R. Dittmann, B. Linares-Barranco, A. Sebastian, M. Le Gallo, A. Redaelli, S. Slesazeck, T. Mikolajick, S. Spiga, S. Menzel, I. Valov, G. Milano, C. Ricciardi, S.J. Liang, F. Miao, M. Lanza, T. J. Quill, S.T. Keene, A. Salleo, J. Grollier, D. Marković, A. Mizrahi, P. Yao, J.J. Yang, G. Indiveri, J.P. Strachan, S. Datta, E. Vianello, A. Valentian, J. Feldmann, X. Li, W.H.P. Pernice, H. Bhaskaran, S. Furber, E. Neftci, F. Scherr, W. Maass, S. Ramaswamy, J. Tapson, P. Panda, Y. Kim, G. Tanaka, S. Thorpe, C. Bartolozzi, T.A. Cleland, C. Posch, S.C. Liu, G. Panuccio, M. Mahmud, A.N. Mazumder, M. Hosseini, T. Mohsenin, E. Donati, S. Tolu, R. Galeazzi, M.E. Christensen, S. Holm, D. Ielmini, N. Pryds
  • 13.01.2022
  • Neuromorphic Computing and Engineering
  • Link to document

Enabling technologies for the future heterogeneous neuromorphic accelerators

  • Elisa Vianello, Alexandre Valentian
  • 12.01.2022
  • Journal Neuromorphic Computing and Engineering
  • Link to document

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

  • Arman Kazemi, Mohammad Mehdi Sharifi, Ann Franchesca Balon Laguna, Franz Muller, Xunzhao Yin, Thomas Kämpfe, Michael Niemier, X. Sharon Hu
  • 20.12.2021
  • IEEE Transactions on Computers
  • Link to document

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

  • Julian Büchel, Dmitrii Zendrikov, Sergio Solinas, Giacomo Indiveri, Dylan R. Muir
  • 03.12.2021
  • Nature, Scientific Reports
  • Link to document

Highly-Optimized radar-based gesture recognition system with depthwise expansion module

  • Mateusz Chmurski, Gianfranco Mauro, Avik Santra, Mariusz Zubert, Gökberk Dagasan
  • 02.11.2021
  • MDPI Sensors
  • Link to document

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

  • A. Yousefzadeh, M. Sifalakis
  • 15.06.2021
  • International Joint Conference on Neural Networks (IJCNN)
  • Link to document

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

  • Mateusz Chmurski, Mariusz Zubert, Kay Bierzynski, Avik Santra
  • 17.05.2021
  • IEEE Access
  • Link to document

Ferroelectric field effect transistors as a synapse for neuromorphic application

  • Maximilian Lederer, Thomas Kämpfe, Tarek Ali, Franz Müller, Ricardo Olivo, Raik Hoffmann, Nellie Laleni, Konrad Seidel
  • 31.03.2021
  • IEEE Transactions on Electron Devices
  • Link to document

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

  • A. Rubino, C. Livanelioglu, N. Qiao, M. Payvand, G. Indiveri
  • 01.01.2021
  • IEEE Transactions on Circuits and Systems I: Regular Papers
  • Link to document

Optimizing the Energy Consumption of Spiking Neural Networks for Neuromorphic Applications

  • Martino Sorbaro, Martino Sorbaro, Qian Liu, Massimo Bortone, Sadique Sheik
  • 20.06.2020
  • Frontiers in Neuroscience
  • Link to document

Achieving Excellent Neuromorphic Performance of Si:HfO2-based FeFETs by Interface Fluorination

  • Yannick Raffel
  • 08.12.2022
  • IEEE Semiconductor Interface Specialists Conference (SISC)
  • Link to document

Neuromorphic sensors and processors

Tutorial at International Conference on IC Design and Technology

  • Thomas Kämpfe
  • 21 - 23.09.22
  • International Conference on IC Design and Technology
  • Link to document

Food Ingredients Recognition Through Multi-label Learning

  • Rameez Ismail
  • 19.09.2022
  • Embedded Artificial Intelligence (EAI) – Devices, Systems, and Industrial Applications
  • Link to document

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

  • Jianyu Zhao
  • 19.09.2022
  • Embedded Artificial Intelligence (EAI) – Devices, Systems, and Industrial Applications
  • Link to document

Low-power Neuromorphic Auditory Processing - Silicon to Applications

  • Dylan Muir
  • 19.09.2022
  • Embedded Artificial Intelligence (EAI) – Devices, Systems, and Industrial Applications
  • Link to document

Low-Power Vertically Stacked One Time Programmable Multi-bit IGZO-Based BEOL Compatible Ferroelectric TFT Memory Devices with Lifelong Retention for

  • Sourav De
  • 19.09.2022
  • Embedded Artificial Intelligence (EAI) – Devices, Systems, and Industrial Applications
  • Link to document

Tools and Methodologies for Edge-AI Inference Accelerators

  • Loreto Mateu
  • 19.09.2022
  • Embedded Artificial Intelligence (EAI) – Devices, Systems, and Industrial Applications
  • Link to document

Low-Power Analog In-memory Computing Neuromorphic Circuits

  • Roland Müller
  • 19.09.2022
  • Embedded Artificial Intelligence (EAI) – Devices, Systems, and Industrial Applications
  • Link to document

Bio-inspired On-line Learning Circuits for Low-power Extreme-edge Spiking Neural Network Processing Systems

  • Giacomo Indiveri
  • 19.09.2022
  • Embedded Artificial Intelligence (EAI) – Devices, Systems, and Industrial Applications
  • Link to document

European Embedded AI Ecosystem. Large-scale projects overview: ECSEL JU AI4DI, TEMPO, ANDANTE

  • Björn Debaillie
  • 19.09.2022
  • Embedded Artificial Intelligence (EAI) – Devices, Systems, and Industrial Applications
  • Link to document

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

  • Maximilian Lederer
  • 06 - 08.09.2022
  • International Conference on Simulation of Semiconductor Processes and Devices (SISPAD 2022)
  • Link to document

TEMPO demonstrators

  • Gert-Jan van Schaik
  • 25 - 26.07.2022
  • International workshop on edge artificial intelligence for industrial applications (EAI4IA)
  • Link to document

Technologies and hardware for neuromorphic computing poster

  • Björn Debaillie
  • 25 - 26.07.2022
  • International workshop on edge artificial intelligence for industrial applications (EAI4IA)
  • Link to document

Benchmarking the Epiphany processor as a reference neuromorphic architecture

  • Amirreza Yousefzadeh
  • 26.07.2022
  • International workshop on edge artificial intelligence for industrial applications (EAI4IA)
  • Link to document

Benchmarking Neuromorphic Computing for Inference

  • Loreto Mateu
  • 26.07.2022
  • International workshop on edge artificial intelligence for industrial applications (EAI4IA)
  • Link to document

Disruptive technology development through SMEs - A view from Neuromorphic edge AI

  • Dylan Muir
  • 26.07.2022
  • International workshop on edge artificial intelligence for industrial applications (EAI4IA)
  • Link to document

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

  • Preetha Vijayan
  • 25.07.2022
  • International workshop on edge artificial intelligence for industrial applications (EAI4IA)
  • Link to document

Feasibility of wafer exchange for European Edge AI pilot lines

  • Annika Wandesleben
  • 25.07.2022
  • International workshop on edge artificial intelligence for industrial applications (EAI4IA)
  • Link to document

Technologies and hardware for neuromorphic computing

  • Björn Debaillie
  • 25.07.2022
  • International workshop on edge artificial intelligence for industrial applications (EAI4IA)
  • Link to document

In-Memory Computing - Pathway for Low Power AI Edge Computing

NeuroEng 2022 Workshop Chair

  • Heinrich Gotzig
  • 22 - 24.06.2022
  • International Workshop on Event Sensing and Neuromorphic Engineering (NeuroEng 2022)
  • Link to document

Neural network based DoA estimation

Deep Learning Xray Denoising

Quantum and Neuromorphic Computing Research at Fraunhofer IPMS and IZM

  • B. Lilienthal-Uhlig
  • 07.06.2022
  • Center for Advanced CMOS & Heterointegration Saxony (CACHS)
  • Link to document

Neuromorphic sensing for robotics

Technologies and hardware for neuromorphic computing

  • Tobias Kirchner
  • 15 - 18.05.2022
  • International Memory Workshop (imw)
  • Link to document

The role of Non-Volatile Memories in novel computing architectures

  • K. Seidel
  • 17.05.2022
  • European Academic and Scientific Association for Nanoelectronics
  • Link to document

Machine Learning for Neuromorphic hardware

  • Dylan Muir
  • 02 - 07.05.2022
  • The CapoCaccia Workshops toward Neuromorphic Intelligence
  • Link to document

Power management in SpiNNaker2 architecture included in lecture “Neuromorphic VLSI Systems” at TU Dresden

  • Johannes Partzsch
  • 2022
  • TU Dresden

SENeCA: Scalable Energy-efficient Neuromorphic Computer Architecture

SENeCA: Next generation Neuromorphic Processor for EdgeAI

Ultra-Low Power Computing in the Era of AI on the Edge

Ultra-Low Power Computing with AI

AI for mobile surgery

  • Rozemarijn Weijers, Hans Rosink
  • 15.01.2022
  • PMS internal hands-on session on AI
  • Link to document

Xray use case

Tempo booth

  • All
  • 23 - 25.11.2021
  • European Forum for Electronic Components and Systems (EFECS)
  • Link to document

Neuromorphic Computing and Engineering: Past, Present, and Future

  • Giacomo Indiveri
  • 15.10.2021
  • Human Brain Project

Tempo booth poster

  • G. van Schaik
  • 24.09.2021
  • Neuromorphic Computing Netherlands (NCN2021)
  • Link to document

How to design a power frugal hardware for AI – The bio-inspiration path

  • Alexandre Valentian
  • 23.09.2021
  • Tiny ML Meetup Talk

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

  • Giacomo Indiveri
  • 16.09.2021
  • International Workshop on Artificial life and evolutionary computation

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

  • Giacomo Indiveri
  • 15 - 17.08.2021
  • Invited lecture Dipartimento Politecnico di Ingegneria e Architettura, University of Udine
  • Link to document

Efficient hardware approximation for bit-decomposition based Deep Neural Network

  • Taha Soliman, Amro Eldebiky, Cecilia De La Parra, Andre Guntoro, Norbert Wehn
  • 05 - 09.12.2021
  • Design Automation Conference (DAC)
  • Link to document

Brain-inspired strategies for low-power artificial intelligence computing systems

  • Giacomo Indiveri
  • 10.07.2021
  • World Artificial Intelligence Conference

Using populations of inhomogeneous spiking neurons to carry out robust computation in neuromorphic processors

  • Giacomo Indiveri
  • 09.06.2021
  • Workshop on Beyond von Neumann architectures

Bio-inspired neuromorphic circuits architectures

Neuromorphic intelligence: Brain-inspired processing technologies for extreme-edge use cases

  • Giacomo Indiveri
  • 21.05.2021
  • IEEE International Symposium on Circuits and Systems (ISCAS)
  • Link to document

Brain-inspired strategies for minimizing power consumption in spiking neural network hardware

  • Giacomo Indiveri
  • 04.05.2021
  • Multidisciplinary Institute in Artificial Intelligence (MIAI)
  • Link to document

Women in neuroengineering: a male PI’s experience

  • Giacomo Indiveri
  • 04.05.2021
  • International IEEE/EMBS Conference on Neural Engineering (NER!21)
  • Link to document

AI chips for the edge – New computing architectures for low-power AI

  • A. Valentian, W. Weinreich
  • 23.04.2021
  • EU Japan Symposium on semiconductors

Mind, brain and body of neuromorphic cognitive agents

  • Giacomo Indiveri
  • 24.03.2021
  • International Workshop on Embodied Intelligence
  • Link to document

Invited lecture

Advanced Technologies and Hardware for Next Generation Computing

Tempo booth

  • All
  • 25 - 26.11.2020
  • European Forum for Electronic Components and Systems (EFECS)
  • Link to document

Neuromorphic Hardware for Edge AI

  • Loreto Mateu
  • 19.11.2020
  • Japanese-German-French Symposium on "Human-centric Artificial Intelligence (AI)"
  • Link to document

What is Neuromorphic Engineering?

  • Giacomo Indiveri
  • 03.11.2020
  • Educational Webinar on Neuromorphic Computing Technologies
  • Link to document

Neuromorphe Hardware für Edge-KI

  • Loreto Mateu
  • 16.10.2020
  • Veranstaltungsreihe: Frauen und künstliche Intelligenz
  • Link to document

CEA-Leti technology platform serving more Moore innovative and disruptive technologies

  • F. Nemouchi, F. Andrieu, M. Vinet, S. Baraud, L. Brunet, E. Vianello, L. Pain, L. Clavelier, Y. Le Tiec, D. Louis
  • 23.07.2020
  • CEA-Leti technology forum

NeuroEvolution: advancements in evolving neural networks

  • Rameez Ismail
  • 04.06.2020
  • DoVo research symposium, Philps internal

Neuromorphic sensors and processors

  • A. Yousefzadeh
  • 2020
  • Lecture at TU Delft

Neuromorphic sensors and processors

  • A. Yousefzadeh
  • 15.03.2020
  • Lecture at TU Eindhoven

TEMPO: Exploration of Spiking Neuronal Network Hardware

  • M. El-Masry, K. Bierzynski
  • 30.01.2020
  • Infineon internal #digitization Talk

Edge AI hardware presentation to ECSEL board members visiting CEA

  • Y. Le Tiec
  • 24.01.2020
  • Visit CEA in Grenoble

Hardware and automotive: a tier1 supplier approach

  • Jean Luc di Paola Galloni
  • 17.01.2020
  • Workshops on reference testing and experimentation facilities for Artificial Intelligence in the Digital Europe Programme
  • Link to document

Driving innovative & disruption: edge-AI made in/by and for Europe

  • Thomas Kämpfe
  • 17.01.2020
  • Workshops on reference testing and experimentation facilities for Artificial Intelligence in the Digital Europe Programme
  • Link to document

In-memory computing technologies for deep neural network acceleration

Technological solutions for improving the figures of merit of edge AI applications

New technological paths for high performance chips targeting HPC and edge

  • Peter Debacker
  • 05 - 06.11.2019
  • EXDCI-2 (European Extreme Data & Computing Initiative) workshop
  • Link to document

Neuromorphic computing: perspectives and challenges for health care

Tiny AI applications

Technology & Hardware for nEuromorphic coMPuting: the TEMPO project

Overview about the TEMPO project

  • K. Bierzynski
  • 22.10.2019
  • Infineon internal Innovation Week

More results

Publications

Publications

The scientific results of TEMPO are published in a broad range of books, journals, conference proceedings and academic theses.

deliverables

Deliverables

The project activities and results are reported in the project deliverables.

event docs

Event docs

TEMPO organizes workshops and webinars, and participates in exhibitions and trade shows.

project docs

Project docs

The project’s ambitions and activities of TEMPO are described in project leaflets and posters.