Autonome Züge könnten Nebenbahnen retten
· 2025
Heimo Hirner, Stefan Thaler
C3CIM: Constant Column Current Memristor-based Computation-in-Memory Micro-architecture
· 2025
Yashvardhan Biyani, Rajendra Bishnoi, Theofilos Spyrou and Said Hamdioui
Neuromorphic IoT Architecture for Efficient Water Management
· 2025
Mugdim Bublin, Heimo Hirner, Antoine-Martin Lanners, Radu Grosu
POSTER: Continuous optimization and benchmarking of ai models on microcontrollers: a TinyMLOps framework for real-world applications
· 2025
Mattia Antonini, Massimo Vecchio, Fabio Antonelli
Scaling NVMs in Event-Driven Architectures for Edge Inference
2024 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)· 2025DOI Junren Chen, Kanishkan Vadivel, Dawit Abdi, Priya Venugopal, Refik Bilgic, Giacomo Indiveri, Fernando Garcia Redondo, Dwaipayan Biswas
A dataflow architecture with distributed control for DNN acceleration
In Proceedings of the 13th Mediterranean Conference on Embedded Computing (MECO24)· 2024
Krichene H. et al.
A scalable and flexible interconnect-based dataflow architecture for Edge-AI inference.
In Proceedings of the European Conference on EDGE AI Technologies and Applications (EEAI23)· 2024
Krichene H. et al.
Adaptive Multi-Threshold Encoding for Energy-Efficient ECG Classification Architecture using Spiking Neural Network
· 2024
Sumit Diware, Yingzhou Dong, Mohammad Amin Yaldagard, Said Hamdioui and Rajendra Bishnoi
Bridging the Gap Between Models in RL: Test Models vs. Neural Networks
ICSTW (2024)· 2024
Lorber F., Tappler M.
Dynamic Detection and Mitigation of Read-disturb for Accurate Memristor-based Neural Networks
IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)· 2024
Diware, S., M.A. Yaldagard, Gebregiorgis, A., Joshi, R. V., Hamdioui, S., & Bishnoi, R
Edge Intelligence Architecture for Distributed and Federated Learning Systems
· 2024
Pieruigi Dell’Acqua; Lorenzo Carnevale; Massimo Villari
EDGEmergency: A Cloud-Edge Platform to Enable Pervasive Computing for Disaster Management
EEE/ACM 10th International Conference on Big Data Computing, Applications and Technologies· 2024DOI M. Colosi, M. Garofalo, L. Carnevale, R. Marino, M. Fazio, M. Villari
EON-1: A Brain-Inspired Processor for Near-Sensor Extreme Edge Online Feature Extraction
IEEE Transactions on Circuits and Systems for Artificial Intelligence· 2024DOI Alexandra Dobrita, Amirreza Yousefzadeh, Simon Thorpe, Kanishkan Vadivel, Paul Detterer, Guangzhi Tang, Gert-Jan van Schaik, Mario Konijnenburg, Anteneh Gebregiorgis, Said Hamdioui, Manolis Sifalakis
ESAM: Energy-efficient SNN Architecture using 3nm FinFET Multiport SRAM-based CIM with Online Learning
ACM Design Automation Conference (DAC),· 2024
Lucas Huijbregts, Liu Hsiao-Hsuan, Paul Detterer, Said Hamdioui, Amirreza Yousefzadeh, Rajendra Bishnoi
Influence of Spike Encoding, Neuron Models and Quantization on SNN Performance
Eurocast 2024 Conference· 2024
Windhager D., Moser B.A., Lunglmayr M.
Knowledge Distillation and Federated Learning for Data-Driven Monitoring of Electrical Vehicle Li-Battery
2024 IEEE Symposium on Computers and Communications (ISCC)· 2024DOI Pieruigi Dell’Acqua, Maria Fazio, Lorenzo Carnevale, Massimo Villari
Knowledge Distillation and Federated Learning for Data-Driven Monitoring of Electrical Vehicle Li-Battery
IEEE DistInSys 2024 : The 4th IEEE International Workshop on Distributed Intelligent· 2024
P. Dell'Acqua, L. Carnevale, M. Fazio, M. Villari
Multi-Partner Project: A Deep Learning Platform Targeting Embedded Hardware for Edge-AI Applications (NEUROKIT2E)
· 2024
Rajendra Bishnoi, Mohammad Amin Yaldagard, Said Hamdioui, Kanishkan Vadivel, Manolis Sifalakis, Nicolas Daniel Rodriguez, Pedro Julian, Lothar Ratschbacher, Maen Mallah, Yogesh Ramesh Patil, Rashid Ali & Fabian Chersi
Optimizing event-based neural networks on digital neuromorphic architecture: a comprehensive design space exploration
Frontiers in Neuroscience· 2024
Guangzhi Tang
Reliable and Energy-efficient Diabetic Retinopathy Screening using Memristor-based Neural Networks
IEEE Access· 2024
Diware, S., Chilakala, K., Joshi, R. V., Hamdioui, S., & Bishnoi, R.
SNN Architecture for Differential Time Encoding Using Decoupled Processing Time
AICAS2024 Conference· 2024
Windhager D., Moser B.A., Lunglmayr M.
TRIP: Trainable Region-of-Interest Prediction for Hardware-Efficient Neuromorphic Processing on Event-Based Vision
2024 International Conference on Neuromorphic Systems (ICONS)· 2024DOI Cina Arjmand, Yingfu Xu, Kevin Shidqi, Alexandra F. Dobrita, Kanishkan Vadivel, Paul Detterer, Manolis Sifalakis, Amirreza Yousefzadeh, Guangzhi Tang
Uncertainty Estimation in Multi-Agent Distributed Learning for AI-Enabled Edge Devices
Proceedings of the 14th International Conference on Cloud Computing and Services Science· 2024DOI Gleb Radchenko, Victoria Fill
Aidge: a new framework for DNN development, training and deployment on the Edge.
..· 2023
Fabian Chersi, Olivier Bichler. Cyril Moineau, Maxence Naud, Laurent Soutier, Vincent Templier, Thibault Allenet, Inna Kucher, Vincent Lorrain
An AI Architecture for Power MOS Rds-on-Driven Lifetime Estimation
2023 Smart Systems Integration Conference and Exhibition (SSI), Brugge, Belgium, 2023· 2023
C. Pino, F. Rundo, C. Spampinato and S. Battiato
Energy-efficient Computation-In-Memory Architecture using Emerging Technologies
IEEE International Conference on Microelectronics (ICM), Special session· 2023
Bishnoi, R., Diware, S., Gebregiorgis, A., Thomann, S., Mannaa, S., Deveautour, B., ... & Hamdioui, S