The explosive improvement in artificial intelligence (AI) technology has largely been driven by making neural networks bigger and training them on more data. But experts suggest that the developers of these systems may soon run out of data to train their models. As a result, teams are taking new approaches, such as searching for other unconventional data sources, or generating new data to train their AIs.This is an audio version of our Feature:&nbsp;<a href="https://www.nature.com/articles/d41586-024-03990-2" rel="noopener noreferrer" target="_blank">The AI revolution is running out of data. What can researchers do?</a><hr> Hosted on Acast. See <a style='color:grey;' target='_blank' rel='noopener noreferrer' href='https://acast.com/privacy'>acast.com/privacy</a> for more information.

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