The neurobench framework for benchmarking neuromorphic computing algorithms and systemsJason Yik, Korneel van den Berghe, Douwe den Blanken, Younes Bouhadjar, Maxime Fabre, Paul Hueber, Weijie Ke, Mina A Khoei, Denis Kleyko, Noah Pacik-Nelson, Alessandro Pierro, Philipp Stratmann, Pao-Sheng Vincent Sun, Guangzhi Tang, Shenqi Wang, Biyan Zhou, Soikat Hasan Ahmed, George Vathakkattil Joseph, Benedetto Leto, Aurora Micheli, Anurag Kumar Mishra, Gregor Lenz, Tao Sun, Zergham Ahmed, Mahmoud Akl, Brian Anderson, Andreas G Andreou, Chiara Bartolozzi, Arindam Basu, Petrut Bogdan, Sander Bohte, Sonia Buckley, Gert Cauwenberghs, Elisabetta Chicca, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Tobias Fischer, Jeremy Forest, Vittorio Fra, Steve Furber, P Michael Furlong, William Gilpin, Aditya Gilra, Hector A Gonzalez, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Shih-Chii Liu, Yao-Hong Liu, Haoyuan Ma, Rajit Manohar, Josep Maria Margarit-Taule, Christian Mayr, Konstantinos Michmizos, Dylan R Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayca Ozcelikkale, Priyadarshini Panda, Jongkil Park, Melika Payvand, Christian Pehle, Mihai A Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, Andre van Schaik, Johannes Schemmel, Samuel Schmidgall, Catherine Schuman, Jae-sun Seo, Sadique Sheik, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Stewart, Matthew Stewart, Terrence C Stewart, Jonathan Timcheck, Nergis Tomen, Gianvito Urgese, Marian Verhelst, Craig M Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Fatima Tuz Zohora, Charlotte Frenkel, and Vijay Janapa Reddi · Journal Article · 2025Nature Communications; 2025; Vol. 16; iss. 1
2024 IEEE European Solid-State Electronics Research ConferenceWim Dehaene, Michiel Steyaert, Patrick Reynaert, Filip Tavernier, Anne Verhulst, James Myers, Marian Verhelst, Georges Gielen, Cor Claeys, and Ann Naeye · Conference Proceeding · 2025IEEE Solid State Circuits Magazine; 2025; Vol. 17; iss. 1; pp. 134 - 135
Adaptive Block-Scaled GeMMs on Vector Processors for DNN Training at the EdgeNitish Satya Murthy, Nathan Laubeuf, Debjyoti Bhattacharjee, Francky Catthoor, and Marian Verhelst · Conference Proceeding · 20242024 IFIP/IEEE 32nd International Conference on Very Large Scale Integration (VLSI-SoC); 2024; pp. 1 - 6
Hardware–Software Co-optimization Through Design Space ExplorationVikram Jain and Marian Verhelst · Book Chapter · 2024Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning: Journey from Single-core Acceleration to Multi-core Heterogeneous Systems; 2024; pp. 59 - 69
TinyML4D: Scaling Embedded Machine Learning Education in the Developing WorldBrian Plancher, Sebastian Buttrich, Jeremy Ellis, Neena Goveas, Laila Kazimierski, Jesus Lopez Sotelo, Milan Lukic, Diego Mendez, Rosdiadee Nordin, Andres Oliva Trevisan, Massimo Pavan, Manuel Roveri, Marcus Rüb, Jackline Tum, and Marian Verhelst · Journal Article · 2024Proceedings of the AAAI symposium series; 2024; Vol. 3; iss. 1; pp. 508 - 515
System-Technology Co-Optimization for Dense Edge Architectures Using 3-D Integration and Nonvolatile MemoryLeandro M Giacomini Rocha, Mohamed Naeim, Guilherme Paim, Moritz Brunion, Priya Venugopal, Dragomir Milojevic, James Myers, Mustafa Badaroglu, Marian Verhelst, Julien Ryckaert, and Dwaipayan Biswas · Journal Article · 2024IEEE Journal on Exploratory Solid-State Computational Devices and Circuits; 2024; Vol. 10; pp. 125 - 134
The “Eagle” Approach To Train Electrical Engineers With Collaborative Problem-Solving SkillsFereshteh Poormohammadi, Merijn Van Deyck, Martijn Deckers, Abdul Saboor, Bowen Wang, Pouya Mehrjouseresht, Zhenda Zhang, Arne Symons, Pieter Pas, Alexander Bodard, Hans van Rooij, Marian Verhelst, Alexander Bertrand, Ruth Sabariego, Panagiotis Patrinos, and Peter Coppens · Conference Proceeding · 202351st Annual Conference of the European Society for Engineering Education (SEFI); 2023; pp.
DIANA: An End-to-End Hybrid DIgital and ANAlog Neural Network SoC for the EdgePouya Houshmand, Giuseppe M Sarda, Vikram Jain, Kodai Ueyoshi, Ioannis A Papistas, Man Shi, Qilin Zheng, Debjyoti Bhattacharjee, Arindam Mallik, Peter Debacker, Diederik Verkest, and Marian Verhelst · Journal Article · 2023IEEE Journal Of Solid-State Circuits; 2023; Vol. 58; iss. 1; pp. 203 - 215
PetaOps/W edge-AI μProcessors: Myth or reality?Manil Dev Gomony, Floran de Putter, Anteneh Gebregiorgis, Gianna Paulin, Linyan Mei, Vikram Jain, Said Hamdioui, Victor Sanchez, Tobias Grosser, Marc Geilen, Marian Verhelst, Friedemann Zenke, Frank Gurkaynak, Barry de Bruin, Sander Stuijk, Simon Davidson, Sayandip De, Mounir Ghogho, Alexandra Jimborean, Sherif Eissa, Luca Benini, Dimitrios Soudris, Rajendra Bishnoi, Sam Ainsworth, Federico Corradi, Ouassim Karrakchou, Tim Gueneysu, and Henk Corporaal · Conference Proceeding · 20232023 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION, DATE; 2023; pp.
DIANA: An End-to-End Energy-Efficient Digital and ANAlog Hybrid Neural Network SoCKodai Ueyoshi, Ioannis A Papistas, Pouya Houshmand, Giuseppe Maria Sarda, Vikram Jain, man Shi, Qilin Zheng, Sebastian Giraldo, Peter Vranckx, Jonas Doevenspeck, Debjyoti Bhattacharjee, Stefan Cosemans, Arindam Mallik, Peter Debacker, Diederik Verkest, and Marian Verhelst · Conference Proceeding · 20222022 IEEE International Conference on Solid-State Circuits (ISSCC); 2022; Vol. 65; pp.
Dynamic Complexity Tuning for Hardware-Aware Probabilistic CircuitsLaura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shah, and Marian Verhelst · Conference Proceeding · 2021IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning; 2021; pp. 283 - 295
Binary CorNET: Accelerator for HR Estimation From Wrist-PPGLeandro Giacomini Rocha, Dwaipayan Biswas, Bram-Ernst Verhoef, Sergio Bampi, Chris Van Hoof, Mario Konijnenburg, Marian Verhelst, and Nick Van Helleputte · Journal Article · 2020IEEE Transactions On Biomedical Circuits And Systems; 2020; Vol. 14; iss. 4; pp. 715 - 726
Opportunities and Limitations of Emerging Analog in-Memory Compute DNN ArchitecturesPouya Houshmand, Stefan Cosemans, Linyan Mei, Ioannis Papistas, Debjyoti Bhattacharjee, Peter Debacker, Arindam Mallik, Diederik Verkest, and Marian Verhelst · Conference Proceeding · 20202020 IEEE INTERNATIONAL ELECTRON DEVICES MEETING (IEDM); 2020; pp.
Whitepaper AI at the edge - a roadmapJan Rabaey, Marian Verhelst, Jo De Boeck, C Enz, Kristiaan De Greve, Adrian Ionescu, Myunhee Na, and Kathleen Philips · Other · 2020