Power-aware training for energy-efficient printed neuromorphic circuits

H Zhao, P Pal, M Hefenbrock, M Beigl… - 2023 IEEE/ACM …, 2023 - ieeexplore.ieee.org
There is an increasing demand for next-generation flexible electronics in emerging low-cost
applications such as smart packaging and smart bandages, where conventional silicon …

Highly-dependable printed neuromorphic circuits based on additive manufacturing

H Zhao, M Hefenbrock, M Beigl… - Flexible and Printed …, 2023 - iopscience.iop.org
The rapid development of emerging domains, such as the Internet of Things and wearable
technologies, necessitates the development of flexible, stretchable, and non-toxic devices …

Evolutionary Approximation of Ternary Neurons for On-sensor Printed Neural Networks

V Mrazek, A Kokkinis, P Papanikolaou… - arXiv preprint arXiv …, 2024 - arxiv.org
Printed electronics offer ultra-low manufacturing costs and the potential for on-demand
fabrication of flexible hardware. However, significant intrinsic constraints stemming from their …

Fault Sensitivity Analysis of Printed Bespoke Multilayer Perceptron Classifiers

P Pal, F Afentaki, H Zhao, G Saglam… - 2024 IEEE European …, 2024 - ieeexplore.ieee.org
Printed Electronics (PE) is an emerging technology with flexible substrates and ultra-low-
cost manufacturing, providing an appealing alternative to traditional wafer-scale silicon …

Towards Temporal Information Processing–Printed Neuromorphic Circuits with Learnable Filters

H Zhao, P Pal, M Hefenbrock, M Beigl… - Proceedings of the 18th …, 2023 - dl.acm.org
Many consumer products such as wearable and disposable electronics require flexibility,
biocompatibility and ultra low-costs, which can hardly be matched by silicon electronics …