Very interesting topic, but a strange choice of source. I'd recommend these instead:<p>Coller foundation press release: <a href="https://www.jeremycollerfoundation.org/news-and-insights/press-releases/scientists-win-us100-000-in-2026-coller-dolittle-prize" rel="nofollow">https://www.jeremycollerfoundation.org/news-and-insights/pre...</a><p>The actual publication in Science: <a href="https://www.science.org/doi/10.1126/science.ads8482" rel="nofollow">https://www.science.org/doi/10.1126/science.ads8482</a>
Here's a non-paywalled version of the research.<p><a href="https://www.biorxiv.org/content/10.1101/2024.11.14.623689v1.full.pdf" rel="nofollow">https://www.biorxiv.org/content/10.1101/2024.11.14.623689v1....</a>
It does have the title going for it.
Thank you, I was also looking for a better source and a link to the paper. I thought the paper was this older one <a href="https://www.nature.com/articles/s41467-018-06394-9" rel="nofollow">https://www.nature.com/articles/s41467-018-06394-9</a> from 2018.
I remember hearing about an interesting paper; it argued that Zebra finch songs were as complex as recursively enumerable languages on the Chomsky hierarchy. I wanted to see if I could find it but came across another paper arguing that their embedded context sensitivity can be explained by simpler rules.<p><pre><code> https://www.pnas.org/doi/10.1073/pnas.0908113106
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Just the same, these little fellows are some of the cutest on our planet.<p>Left this comment as another computer science connection.
No doubts the crows are all having a good laugh at our expense.
Another win for machine learning:<p>>She then applied machine learning to analyse how information was encoded in the calls before testing her findings through behavioural experiments.