Gentiana Rashiti, Kumudu Geethan Karunaratne, et al.
ECAI 2024
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.
Gentiana Rashiti, Kumudu Geethan Karunaratne, et al.
ECAI 2024
Prashanth Vijayaraghavan, Soroush Vosoughi, et al.
IJCAI 2025
Seung Gu Kang, Jeff Weber, et al.
ACS Fall 2023
Yangyang Xu, Yibo Xu, et al.
Mathematical Programming Computation