Towards Binarized Neural Networks Hardware

B. Penkovsky, M. Bocquet, T. Hirztlin, J.-O. Klein, E. Nowak, E. Vianello, J.-M. Portal and D. Querlioz The advent of deep learning has substantially accelerated machine learning development during the last decade. Multiple tasks such as computer vision have been drastically improved and even outperformed the human accuracy. However, those deep learning implementations require almost two orders of magnitude more power comparing to the human brain. Moreover, with the end of the Moore’s law, new hardware insights are necessary to keep steady the progress.