Résumé
This PhD work focuses on Oscillatory Neural Network (ONN) computing paradigm for edge artificial intelligence applications. In particular, it uses a digital ONN design implemented on FPGA to explore novel ONN architectures, learning algorithms, and applications. First, using a fully-connected ONN architecture, ONN can perform pattern recognition, applied in this work for various edge applications, like image processing and robotics. Then, this work introduces layered ONN architectures for classification tasks applied to image edge detection.