Chewing sounds can help decode an animal’s diet using AI, new study finds
An artificial intelligence model can now answer that question by listening to sounds of the animal chewing on food. Scientists developed the machine learning algorithm to detect the sound of shells being crushed by predators when they feed on mollusks. According to a study published in the journal Ecological Informatics, the model can also identify the prey based on the sounds.
- ▪An artificial intelligence model can now answer that question by listening to sounds of the animal chewing on food.
- ▪Scientists developed the machine learning algorithm to detect the sound of shells being crushed by predators when they feed on mollusks.
- ▪According to a study published in the journal Ecological Informatics, the model can also identify the prey based on the sounds.
Mongabay — News files mainly under climate. We currently carry 81 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Mongabay — News |
| Canonical URL | https://news.mongabay.com/2026/06/chewing-sounds-can-help-decode-an-animals-diet-using-ai-new-study-finds/ |
| Publication time | 26 Jun 2026 02:29:05 +0000 |
| Retrieval time | 2026-06-26T02:49:30.009Z |
| Last seen | 2026-06-26T02:49:30.009Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | phjy6D9_b27O |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Scientists have developed an AI model that can listen to the chewing sounds of predators and identify what they are eating.The tool was trained with audio of whitespotted eagle rays crushing open shells of the mollusks they are preying on.It’s crucial to understand predator-prey interactions to figure out the resources the predator depends on and the pressure it puts on prey.See All Key Ideas (function($) { $(document).ready(function() { const bulletPoints = $('.bulletpoints'); const toggle = $('.bulletpoints-wrapper .content-expander'); if (bulletPoints.length > 0) { const bulletPointsHeight = bulletPoints[0].scrollHeight; if (bulletPointsHeight && bulletPointsHeight <= 170) { toggle.remove(); } toggle.click(function() { bulletPoints.toggleClass('visible');…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Mongabay — News.
Discussion
0 commentsMore from Mongabay — News
