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CUTIE: Beyond PetaOp/s/W Ternary DNN Inference Acceleration with Better-than-Binary Energy Efficiency., , , and . CoRR, (2020)Towards Always-on Event-based Cameras for Long-lasting Battery-operated Smart Sensor Nodes., , , , and . I2MTC, page 1-6. IEEE, (2021)Automatic image-based pedicle screw planning., , , , , and . Medical Imaging: Image-Guided Procedures, volume 11598 of SPIE Proceedings, SPIE, (2021)A 1036 TOp/s/W, 12.2 mW, 2.72 μJ/Inference All Digital TNN Accelerator in 22 nm FDX Technology for TinyML Applications., , , , and . COOL CHIPS, page 1-3. IEEE, (2022)SmartAid: A Low-Power Smart Hearing Aid For Stutterers., , and . SAS, page 1-6. IEEE, (2019)Siracusa: A 16 nm Heterogenous RISC-V SoC for Extended Reality With At-MRAM Neural Engine., , , , , , , , , and 2 other author(s). IEEE J. Solid State Circuits, 59 (7): 2055-2069 (July 2024)Bioformers: Embedding Transformers for Ultra-Low Power sEMG-based Gesture Recognition., , , , , , , and . DATE, page 1443-1448. IEEE, (2022)TinyRadarNN: Combining Spatial and Temporal Convolutional Neural Networks for Embedded Gesture Recognition With Short Range Radars., , , , , and . IEEE Internet Things J., 8 (13): 10336-10346 (2021)7 μJ/inference end-to-end gesture recognition from dynamic vision sensor data using ternarized hybrid convolutional neural networks., , , and . Future Gener. Comput. Syst., (December 2023)Siracusa: A Low-Power On-Sensor RISC-V SoC for Extended Reality Visual Processing in 16nm CMOS., , , , , , , , , and 2 other author(s). ESSCIRC, page 217-220. IEEE, (2023)