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

nature.com · 560 words · saved by 1 readers

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript. Advertisement Nicola Jones is a freelance writer in Pemberton, British Columbia. Search author on: PubMed Google Scholar Illustration: Adrià Voltà You have full access to this article via your institution. The Internet is a vast ocean of human knowledge, but it isn’t infinite. And artificial intelligence (AI) researchers have nearly sucked it dry. The past decade of explosive improvement in AI has been driven in large part by making neural networks bigger and training them on ever-more data. This s

Email Bluesky Facebook LinkedIn Reddit Whatsapp X Illustration: Adrià Voltà Access through your institution Buy or subscribe The Internet is a vast ocean of human knowledge, but it isn’t infinite. And artificial intelligence (AI) researchers have nearly sucked it dry. Access options Access through your institution Access Nature and 54 other Nature Portfolio journals Get Nature+, our best-value online-access subscription $32.99 / 30 days cancel any time Learn more Subscribe to this journal Receive 52 print issues and online access $199.00 per year only $3.83 per issue Learn more Rent or buy thi

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