The AI revolution is running out of data. What can researchers do?

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: The AI revolution is running out of data. What can researchers do? Hosted on Acast. See acast.com/privacy for more information.

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The Nature Podcast brings you the best stories from the world of science each week. We cover everything from astronomy to zoology, highlighting the most exciting research from each issue of the Nature journal. We meet the scientists behind the results and provide in-depth analysis from Nature's journalists and editors. Hosted on Acast. See acast.com/privacy for more information.