Can AI learn without forgetting? Explore five levels of continual learning and the stability-plasticity tradeoff to plan better AI roadmaps.

Memristors consume extremely little power and behave similarly to brain cells. Researchers have now introduced novel memristive that offer significant advantages: they are more robust, function across ...

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Anti-forgetting representation learning method reduces the weight aggregation interference on model memory and augments the ...

Enterprises often find that when they fine-tune models, one effective approach to making a large language model (LLM) fit for purpose and grounded in data is to have the model lose some of its ...

The project aims to combat AI's "catastrophic forgetting" with a bold new approach, creating machine intelligence that can learn throughout its lifetime. How does it work? According to Associate ...

Researchers discuss how mimicking sleep patterns of the human brain in artificial neural networks may help mitigate the threat of catastrophic forgetting in the latter, boosting their utility across a ...

They consume extremely little power and behave similarly to brain cells: so-called memristors. Researchers from Jülich, led by Ilia Valov, have now introduced novel memristive components in Nature ...