Stanisław Woźniak, Hlynur Jónsson, et al.
Nature Communications
Deep learning has achieved outstanding success in several artificial intelligence (AI) tasks, resulting in human-like performance, albeit at a much higher power than the ~20 watts required by the human brain. We have developed an approach that incorporates biologically inspired neural dynamics into deep learning using a novel construct called spiking neural unit (SNU). Remarkably, these biological insights enabled SNU-based deep learning to even surpass the state-of-the-art performance while simultaneously enhancing the energy-efficiency of AI hardware implementations.
Stanisław Woźniak, Hlynur Jónsson, et al.
Nature Communications
Severin Sidler, Angeliki Pantazi, et al.
ICANN 2017
Yangyang Xu, Yibo Xu, et al.
Mathematical Programming Computation
Michael Hersche, Mustafa Zeqiri, et al.
Nature Machine Intelligence