Future AI algorithms have potential to learn like humans shorts ai artificialintelligence

Researchers have explored "continual learning" in AI algorithms to understand why they suffer from memory loss, known as "catastrophic forgetting." They found that artificial neural networks perform better when faced with diverse tasks sequentially, rather than similar ones. To optimize memory, dissimilar tasks should be taught early in the learning process. Achieving dynamic, lifelong learning in AI could lead to faster scaling of machine learning algorithms and adaptability to changing environments. The goal is for AI systems to mimic human learning capabilities.

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