What distinguishes RNNs from feedforward neural networks in terms of processing sequences? Single choice

A

RNNs are stateless and do not maintain any information across time steps.

B

RNNs are theoretically capable of maintaining a state across different time steps, allowing them to handle sequences of data.

C

RNNs can only process sequences of fixed length.

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