Once the training is complete, one thing I didn't see mentioned in the paper was how they maintain the charge on the gate capacitors, which is analogous to the weights in a traditional neural network if I'm understanding this correctly. Any practical implementation will need to have some practical way to refresh that on a continuous basis so that the weights don't drift. Was this perhaps mentioned somewhere and I missed it?
One can use MOS capacitors for this which essentially double up as flash drives so have stprage and refresh built in. Just like flash drives, you can only do limited amount of training on them.
