Fefet-based binarized neural networks under temperature-dependent bit errors
Ferroelectric FET (FeFET) is a highly promising emerging non-volatile memory (NVM)
technology, especially for binarized neural network (BNN) inference on the low-power edge …
technology, especially for binarized neural network (BNN) inference on the low-power edge …
Experimental demonstration of a robust training method for strongly defective neuromorphic hardware
The increasing scale of neural networks needed to support more complex applications has
led to an increasing requirement for area-and energy-efficient hardware. One route to …
led to an increasing requirement for area-and energy-efficient hardware. One route to …
Measurement-driven neural-network training for integrated magnetic tunnel junction arrays
The increasing scale of neural networks needed to support more complex applications has
led to an increasing requirement for area-and energy-efficient hardware. One route to …
led to an increasing requirement for area-and energy-efficient hardware. One route to …
[PDF][PDF] Ensemble learning with discrete classifiers on small devices
S Buschjäger - 2022 - eldorado.tu-dortmund.de
Abstract Machine learning has become an integral part of everyday life ranging from
applications in AI-powered search queries to (partial) autonomous driving. Many of the …
applications in AI-powered search queries to (partial) autonomous driving. Many of the …