Lamberti, L; Niculescu, V; Barcis, M; Bellone, L; Natalizio, E; Benini, L; Palossi, D, Tiny-PULP-Dronets: Squeezing Neural Networks for Faster and Lighter Inference on Multi-Tasking Autonomous Nano-Drones, in: 2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS), 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE, 2022, pp. 287 - 290 (atti di: 2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS), Incheon, Seoul, June 13-15 2022) [Contributo in Atti di convegno]
Niculescu, V; Mueller, H; Ostovar, I; Polonelli, T; Magno, M; Benini, L, Towards a Multi-Pixel Time-of-Flight Indoor Navigation System for Nano-Drone Applications, in: 2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE, «CONFERENCE PROCEEDINGS - IEEE INSTRUMENTATION/MEASUREMENT TECHNOLOGY CONFERENCE», 2022, pp. 1 - 6 (atti di: 2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Ottawa, ON, Canada, 16-19 May 2022) [Contributo in Atti di convegno]
Cioflan, C; Cavigelli, L; Rusci, M; de Prado, M; Benini, L, Towards On-device Domain Adaptation for Noise-Robust Keyword Spotting, in: 2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS), 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE, 2022, pp. 82 - 85 (atti di: 2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS), Incheon, Korea Republic of, 13-15 June) [Contributo in Atti di convegno]
Amatetti, C; Polonelli, T; Masina, E; Moatti, C; Mikhaylov, D; Amato, D; Vanelli-Coralli, A; Magno, M; Benini, L, Towards the Future Generation of Railway Localization and Signaling Exploiting sub-meter RTK GNSS, in: IEEE Sensors Applications Symposium (SAS), 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE, 2022, pp. 1 - 6 (atti di: IEEE Sensors Applications Symposium (SAS), Sundsvall, Sweden, 1-3 August 2022) [Contributo in Atti di convegno]
Alessio Burrello; Giovanni Zara; Luca Benini; Davide Brunelli; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari, Traffic Load Estimation from Structural Health Monitoring sensors using supervised learning, «SUSTAINABLE COMPUTING», 2022, 35, pp. 100704 - 100719 [articolo]
Spallanzani, Matteo; Leonardi, Gian Paolo; Benini, Luca, Training Quantised Neural Networks with STE Variants: the Additive Noise Annealing Algorithm, in: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, pp. 470 - 479 (atti di: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, USA, 18-24 June 2022) [Contributo in Atti di convegno]
Tabanelli, E.; Brunelli, D.; Acquaviva, A.; Benini, L., Trimming Feature Extraction and Inference for MCU-based Edge NILM: a Systematic Approach, «IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS», 2022, 18, Article number: 9426443, pp. 943 - 952 [articolo]Open Access
Paulin G.; Conti F.; Cavigelli L.; Benini L., Vau Da Muntanialas: Energy-Efficient Multi-Die Scalable Acceleration of RNN Inference, «IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. I, REGULAR PAPERS», 2022, 69, pp. 244 - 257 [articolo]
Rossi D.; Conti F.; Eggiman M.; Mauro A.D.; Tagliavini G.; Mach S.; Guermandi M.; Pullini A.; Loi I.; Chen J.; Flamand E.; Benini L., Vega: A Ten-Core SoC for IoT Endnodes with DNN Acceleration and Cognitive Wake-Up from MRAM-Based State-Retentive Sleep Mode, «IEEE JOURNAL OF SOLID-STATE CIRCUITS», 2022, 57, pp. 127 - 139 [articolo]Open Access
Alberto Dequino, Francesco Conti, Luca Benini, ViT-LR: Pushing the Envelope for Transformer-Based On-Device Embedded Continual Learning, in: 2022 13th International Green and Sustainable Computing Conference (IGSC), 2022(atti di: IGSC 2022 (The 13th International Green and Sustainable Computing Conference), Virtual, October 24 - 25 2022) [atti di convegno-poster]
Scherer, Moritz; Sidler, Fabian; Rogenmoser, Michael; Magno, Michele; Benini, Luca, WideVision: A Low-Power, Multi-Protocol Wireless Vision Platform for Distributed Surveillance, in: in 2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE, «IEEE INTERNATIONAL CONFERENCE ON WIRELESS AND MOBILE COMPUTING, NETWORKING, AND COMMUNICATIONS», 2022, pp. . - . (atti di: in 2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Thessaloniki, Greece, 10-12 October 2022) [Contributo in Atti di convegno]
Frey, Sebastian; Vostrikov, Sergei; Benini, Luca; Cossettini, Andrea, WULPUS: a Wearable Ultra Low-Power Ultrasound probe for multi-day monitoring of carotid artery and muscle activity, in: 2022 IEEE International Ultrasonics Symposium (IUS), 2022, pp. . - . (atti di: 2022 IEEE International Ultrasonics Symposium (IUS), Venice, Italy, 10-13 October 2022) [Contributo in Atti di convegno]
Harel, O; Casarrubias, EN; Eggimann, M; Gurkaynak, F; Benini, L; Teman, A; Giterman, R; Burg, A, 64-kB 65-nm GC-eDRAM With Half-Select Support and Parallel Refresh Technique, «IEEE SOLID-STATE CIRCUITS LETTERS», 2022, 5, pp. 170 - 173 [articolo]
Okuhara, H.; Elnaqib, A.; Dazzi, M.; Palestri, P.; Benatti, S.; Benini, L.; Rossi, D., A Fully Integrated 5-mW, 0.8-Gbps Energy-Efficient Chip-to-Chip Data Link for Ultralow-Power IoT End-Nodes in 65-nm CMOS, «IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS», 2021, 29, pp. 1800 - 1811 [articolo]Open Access
Burrello A.; Scherer M.; Zanghieri M.; Conti F.; Benini L., A Microcontroller is All You Need: Enabling Transformer Execution on Low-Power IoT Endnodes, in: 2021 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2021, Institute of Electrical and Electronics Engineers Inc., 2021, pp. 1 - 6 (atti di: 2021 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2021, esp, 2021) [Contributo in Atti di convegno]
