Shrivani Pandiya, Serge Ecoffey, et al.
ECTC 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.
Shrivani Pandiya, Serge Ecoffey, et al.
ECTC 2023
Kuniaki Saito, Kihyuk Sohn, et al.
CVPR 2023
Minghong Fang, Zifan Zhang, et al.
CCS 2024
Flaviano Della Pia, Andrea Zen, et al.
Journal of Chemical Physics