Tape drive track following using cascade control
Angeliki Pantazi, Mark A. Lantz
IFAC 2014
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.
Angeliki Pantazi, Mark A. Lantz
IFAC 2014
Kazuhiro Tsuruta, Angeliki Pantazi, et al.
ISPS 2013
Pietro Tassan, Darius Urbonas, et al.
SCOM 2025
Virginia Oddi, Chenglian Zhu, et al.
ACS Nano