Impulsive control for nanopositioning: Stability and performance
Tomas Tuma, Angeliki Pantazi, et al.
HSCC 2011
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.
Tomas Tuma, Angeliki Pantazi, et al.
HSCC 2011
Christopher Lutz, Gregory Czap, et al.
APS Global Physics Summit 2026
Laura Bégon-Lours, Elisabetta Morabito, et al.
MRS Fall Meeting 2023
Takuya Kurihana, Kyongmin Yeo, et al.
AGU Fall 2023