A team of data and computer scientists at UC San Diego have developed a formula that explains how neural networks learn and make predictions. This can help improve the understanding and transparency of AI-powered tools.

A team of data and computer scientists at UC San Diego have developed a formula that explains how neural networks learn and make predictions. This can help improve the understanding and transparency of AI-powered tools.
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