Humans are able to master a variety of knowledge and skills with ongoing learning. By contrast, dramatic performance degradation is observed when new tasks are added to an existing neural network model. This phenomenon, termed , is one of the major roadblocks that prevent deep neural networks from achieving human-level artificial intelligence.
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