Craig Mahlasi, Sibusisiwe Makhanya, et al.
DS-I Africa Consortium Meeting 2023
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.
Craig Mahlasi, Sibusisiwe Makhanya, et al.
DS-I Africa Consortium Meeting 2023
Seita Kayukawa, Daisuke Sato, et al.
CHI 2023
Ruoshui Li, Yichen Jia, et al.
APS March Meeting 2023
Peter Zhang, Jiaqi Wang, et al.
MRS Fall Meeting 2025