Armin Knoll, Chloe Bureau-oxton, et al.
Nanofab NYC 2025
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.
Armin Knoll, Chloe Bureau-oxton, et al.
Nanofab NYC 2025
Laura Bégon-Lours, Elisabetta Morabito, et al.
MRS Fall Meeting 2023
Peter Zhang, Jiaqi Wang, et al.
MRS Fall Meeting 2025
Oleg Kolosov, Gala Yadgar, et al.
ICDCS 2023