SmartAid: A Low-Power Smart Hearing Aid For Stutterers. - Moritz Scherer 001; Kiran Menachery; Michele Magno (SAS, 2019)

A Microcontroller is All You Need: Enabling Transformer Execution on Low-Power IoT Endnodes. - Alessio Burrello; Moritz Scherer 001; Marcello Zanghieri; Francesco Conti 001; Luca Benini (COINS, 2021)

FlyDVS: An Event-Driven Wireless Ultra-Low Power Visual Sensor Node. - Alfio Di Mauro; Moritz Scherer 001; Jordi Fornt Mas; Basile Bougenot; Michele Magno; Luca Benini (DATE, 2021)

Towards Always-on Event-based Cameras for Long-lasting Battery-operated Smart Sensor Nodes. - Moritz Scherer 001; Philipp Mayer; Alfio Di Mauro; Michele Magno; Luca Benini (I2MTC, 2021)

TinyRadarNN: Combining Spatial and Temporal Convolutional Neural Networks for Embedded Gesture Recognition With Short Range Radars. - Moritz Scherer 001; Michele Magno; Jonas Erb; Philipp Mayer; Manuel Eggimann; Luca Benini (IEEE Internet Things J., 2021)

EEGformer: Transformer-Based Epilepsy Detection on Raw EEG Traces for Low-Channel-Count Wearable Continuous Monitoring Devices. - Paola Busia; Andrea Cossettini; Thorir Mar Ingolfsson; Simone Benatti; Alessio Burrello; Moritz Scherer 001; Matteo Antonio Scrugli; Paolo Meloni; Luca Benini (BioCAS, 2022)

A 1036 TOp/s/W, 12.2 mW, 2.72 μJ/Inference All Digital TNN Accelerator in 22 nm FDX Technology for TinyML Applications. - Moritz Scherer 001; Alfio Di Mauro; Georg Rutishauser; Tim Fischer 001; Luca Benini (COOL CHIPS, 2022)

Bioformers: Embedding Transformers for Ultra-Low Power sEMG-based Gesture Recognition. - Alessio Burrello; Francesco Bianco Morghet; Moritz Scherer 001; Simone Benatti; Luca Benini; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari (DATE, 2022)

Ternarized TCN for $ mu mathrm{J}/ text{Inference}$ Gesture Recognition from DVS Event Frames. - Georg Rutishauser; Moritz Scherer 001; Tim Fischer 001; Luca Benini (DATE, 2022)

Kraken: A Direct Event/Frame-Based Multi-sensor Fusion SoC for Ultra-Efficient Visual Processing in Nano-UAVs. - Alfio Di Mauro; Moritz Scherer 001; Davide Rossi; Luca Benini (HCS, 2022)

WideVision: A Low-Power, Multi-Protocol Wireless Vision Platform for Distributed Surveillance. - Moritz Scherer 001; Fabian Sidler; Michael Rogenmoser; Michele Magno; Luca Benini (WiMob, 2022)

TCN-CUTIE: A 1036 TOp/s/W, 2.72 uJ/Inference, 12.2 mW All-Digital Ternary Accelerator in 22 nm FDX Technology. - Moritz Scherer 001; Alfio Di Mauro; Tim Fischer 001; Georg Rutishauser; Luca Benini (CoRR, 2022)

CUTIE: Beyond PetaOp/s/W Ternary DNN Inference Acceleration With Better-Than-Binary Energy Efficiency. - Moritz Scherer 001; Georg Rutishauser; Lukas Cavigelli; Luca Benini (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Siracusa: A Low-Power On-Sensor RISC-V SoC for Extended Reality Visual Processing in 16nm CMOS. - Moritz Scherer 001; Manuel Eggimann; Alfio Di Mauro; Arpan Suravi Prasad; Francesco Conti 001; Davide Rossi; Jorge Tomás Gómez; Ziyun Li; Syed Shakib Sarwar; Zhao Wang; Barbara De Salvo; Luca Benini (ESSCIRC, 2023)

ITA: An Energy-Efficient Attention and Softmax Accelerator for Quantized Transformers. - Gamze Islamoglu; Moritz Scherer 001; Gianna Paulin; Tim Fischer 001; Victor J. B. Jung; Angelo Garofalo; Luca Benini (ISLPED, 2023)

Securing Tiny Transformer-Based Computer Vision Models: Evaluating Real-World Patch Attacks. - Andrea Mattei; Moritz Scherer 001; Cristian Cioflan; Michele Magno; Luca Benini (WF-IoT, 2023)

TCN-CUTIE: A 1, 036-TOp/s/W, 2.72-µJ/Inference, 12.2-mW All-Digital Ternary Accelerator in 22-nm FDX Technology. - Moritz Scherer 001; Alfio Di Mauro; Tim Fischer 001; Georg Rutishauser; Luca Benini (IEEE Micro, 2023)

7 μJ/inference end-to-end gesture recognition from dynamic vision sensor data using ternarized hybrid convolutional neural networks. - Georg Rutishauser; Moritz Scherer 001; Tim Fischer 001; Luca Benini (Future Gener. Comput. Syst., 2023)

xTern: Energy-Efficient Ternary Neural Network Inference on RISC-V-Based Edge Systems. - Georg Rutishauser; Joan Mihali; Moritz Scherer 001; Luca Benini (ASAP, 2024)

Work in Progress: Linear Transformers for TinyML. - Moritz Scherer 001; Cristian Cioflan; Michele Magno; Luca Benini (DATE, 2024)

Circuits and Systems for Embodied AI: Exploring uJ Multi-Modal Perception for Nano-UAVs on the Kraken Shield. - Viviane Potocnik; Alfio Di Mauro; Lorenzo Lamberti; Victor Javier Kartsch; Moritz Scherer 001; Francesco Conti 001; Luca Benini (CoRR, 2024)

Reducing False Alarms in Wearable Seizure Detection With EEGformer: A Compact Transformer Model for MCUs. - Paola Busia; Andrea Cossettini; Thorir Mar Ingolfsson; Simone Benatti; Alessio Burrello; Victor J. B. Jung; Moritz Scherer 001; Matteo Antonio Scrugli; Adriano Bernini; Pauline Ducouret; Philippe Ryvlin; Paolo Meloni; et al. (IEEE Trans. Biomed. Circuits Syst., 2024)

Siracusa: A 16 nm Heterogenous RISC-V SoC for Extended Reality With At-MRAM Neural Engine. - Arpan Suravi Prasad; Moritz Scherer 001; Francesco Conti 001; Davide Rossi; Alfio Di Mauro; Manuel Eggimann; Jorge Tomás Gómez; Ziyun Li; Syed Shakib Sarwar; Zhao Wang; Barbara De Salvo; Luca Benini (IEEE J. Solid State Circuits, 2024)

Thermally Constrained Codesign of Heterogeneous 3-D Integration of Compute-in-Memory, Digital ML Accelerator, and RISC-V Cores for Mixed ML and Non-ML Workloads. - Yuan-Chun Luo; Anni Lu; Janak Sharda; Moritz Scherer 001; Jorge Tomás Gómez; Syed Shakib Sarwar; Ziyun Li; Reid Frederick Pinkham; Barbara De Salvo; Shimeng Yu (IEEE Trans. Very Large Scale Integr. Syst., 2024)

Deeploy: Enabling Energy-Efficient Deployment of Small Language Models on Heterogeneous Microcontrollers. - Moritz Scherer 001; Luka Macan; Victor J. B. Jung; Philip Wiese; Luca Bompani; Alessio Burrello; Francesco Conti 001; Luca Benini (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Optimizing the Deployment of Tiny Transformers on Low-Power MCUs. - Victor Jean-Baptiste Jung; Alessio Burrello; Moritz Scherer 001; Francesco Conti 001; Luca Benini (IEEE Trans. Computers, 2025)

Toward Attention-Based TinyML: A Heterogeneous Accelerated Architecture and Automated Deployment Flow. - Philip Wiese; Gamze Islamoglu; Moritz Scherer 001; Luka Macan; Victor Jean-Baptiste Jung; Alessio Burrello; Francesco Conti 001; Luca Benini (IEEE Des. Test, 2025)