A new feature in the evaluation is the use of a set of neural networks just to prune away move candidates within a deeper ply search. This increases the speed considerably and it doesn't lose much playing strength compared to evaluation without these pruning neural nets. Jim Segrave has just done an analysis of this and found that less than 1% of all moves come out different with the pruning nets activated. In most of these positions the move would not have made any difference to the game at all.
Notice, You can not use both reduced evaluations and pruning neural nets.