develop tiny machine learning (tinyML) algorithms and compressed deep neural networks (DNNs) in order to integrate such methods directly on the embedded devices (edgeAI) and micro-controller units (MCUs)
develop deeply quantized learning algorithms (DQNN) and associatedapplications targeting MCUs.develop artificial intelligence algorithms based on deep learning and computer
vision for Advanced Driver Assistance Systems (ADAS).
develop intelligent embedded systems for smart agriculture, based on deep learning techniques applied to images.
