Kazuhiro Tsuruta, Angeliki Pantazi, et al.
ISPS 2013
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.
Kazuhiro Tsuruta, Angeliki Pantazi, et al.
ISPS 2013
Lars Graf, Thomas Bohnstingl, et al.
NeurIPS 2025
Katja-Sophia Csizi, Adrianna Frackowiak, et al.
Biomicrofluidics
Craig Mahlasi, Sibusisiwe Makhanya, et al.
DS-I Africa Consortium Meeting 2023