How does machine learning extend flash life?
The carefully instrumented management of voltage is the main thing that machine learning can control. The lower the voltage, the more slowly the insulating layer deteriorates. The voltage must be gradually increased to maintain a favorable ratio of data signal to noise, but that will speed up the deterioration of the insulating layer. Another thing that machine learning could do on the multi-level chips is give a maximum spread to the data so that the same cells aren't being used over and over again as others sit empty. Let's say frequently accessed data isn't always left in the same sector of the chip. There are other factors, I'm sure.