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Among the most essential attributes sought in artificial intelligence systems is their capacity for the ceaseless acquisition of new concepts, coupled with perfect retention. Even the most advanced deep learning networks are prone to the rapid decay of previously learned knowledge when confronted with new training data. The core of the proposed lifelong dual generative adversarial networks (LD-GANs) lies in two generative adversarial networks (GANs), a Teacher and an
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