For questions related to the concept of catastrophic forgetting (or, also called, catastrophic interference), which is the problem of forgetting previously acquired information (or the ability to solve certain tasks) while learning new information (in an online or incremental fashion) that certain machine learning models (in particular, neural networks) face.

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