Apart from others, in CNN we generally use a 2d squared sliding window along an axis and convolute (with original input 2d image) to identify patterns.
In RNN we use previously calculated memory. If you are interested you can see, LSTM (Long Short-Term Memory) which is a special kind of RNN.
Both CNN and RNN have one point in common, as they detect patterns and sequences, that is you can't shuffle your single input data bits.
