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cs.LG2021
Dependable Neural Networks Through Redundancy, A Comparison of Redundant Architectures
Hans Dermot Doran, Gianluca Ielpo, David Ganz +1
With edge-AI finding an increasing number of real-world applications, especially in industry, the question of functionally safe applications using AI has begun to be asked. In this…
cs.LG2020
Examining Redundancy in the Context of Safe Machine Learning
Hans Dermot Doran, Monika Reif
This paper describes a set of experiments with neural network classifiers on the MNIST database of digits. The purpose is to investigate naïve implementations of redundant architec…