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

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 ...

Google Research has introduced Nested Learning, a machine learning approach designed to address the problem of catastrophic forgetting in continual learning. This new method has been detailed in the ...

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 ...