My question was more towards people who are actively using NN as a solution and _have_already_ shipped products in a 'regulated' industry.
The products are obviously out there, so to me it is confusing what evidence can a team provide at this point in time (with the current NN implementations) in order to get a product using NN (with a non-deterministic uncertainty) approved by a regulatory body? (automotive, medical, etc.)
Examples that jump to mind are Tesla's stereovision sub-systems (I am assuming NN are used), or NN based medical imaging classifier software (NN instead of Clustering or SVM techniques)
My question was more towards people who are actively using NN as a solution and _have_already_ shipped products in a 'regulated' industry.
The products are obviously out there, so to me it is confusing what evidence can a team provide at this point in time (with the current NN implementations) in order to get a product using NN (with a non-deterministic uncertainty) approved by a regulatory body? (automotive, medical, etc.)
Examples that jump to mind are Tesla's stereovision sub-systems (I am assuming NN are used), or NN based medical imaging classifier software (NN instead of Clustering or SVM techniques)