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sensors. The architecture integrates (i) an ultra-low form factor microfluidic separation module and (ii) a multi-modal SiC sensor for precise analyte identification. The seamless integration of a
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out research activities in the field of sensors, electronic circuits, and MEMS (MicroElectroMechanical Systems), with particular emphasis on the development of innovative, sustainable, and low-energy
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. This research will explore novel approaches for enabling AI at the edge, focusing on one or all of the following aspects: i) hardware-aware scaling, model compression, and novel approaches for diverse low-power
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. The application scenarios range from quality-control, video-surveillance to automotive. The company collaborates with Fondazione Bruno Kessler in the study and development of advanced low-power