Reconfigurable Neural Network architectures, circuits, transistors (recoNNact) KU Leuven
Embedded neural networks become more and more important, as they offer superior task performance compared to many traditional algorithms. However they are much more compute heavy than the traditional algorithms, putting a large burden on the power envelope of the embedded platform. This trend is also observed for next generation hearing aids, requiring advanced low-power embedded audio machine learning processing, including improved denoising ...