# AI is unlocking the secrets of these rare bats | BBC News **URL:** \ **Category:** Content Creators\ **Tags:** bbc-news, machine-learning\ **Created:** [30 October 2026 10:00 UTC](https://www.artofsm.art/t/ai-is-unlocking-the-secrets-of-these-rare-bats-bbc-news/27150 "2026-10-30T10:00:23Z")\ **Posts on this page:** 2\ **Page:** 1
**Author:** ![artesia](https://www.artofsm.art/user_avatar/www.artofsm.art/artesia/32/36_2.png) [@artesia](https://www.artofsm.art/u/artesia)\ **Post date:** [30 October 2026 10:00 UTC](https://www.artofsm.art/t/ai-is-unlocking-the-secrets-of-these-rare-bats-bbc-news/27150/1 "2026-10-30T10:00:23Z")
[![](https://www.artofsm.art/uploads/default/original/3X/1/0/1049d6fc711c6883c3a18c26cf64128a9e991ea3.jpeg "AI is unlocking the secrets of these rare bats | BBC News") ](https://www.youtube.com/watch?v=NYl1N0mbQuI) The video highlights a large-scale acoustic survey in England’s woodlands that uses ultrasonic detectors and AI to record and analyze over 90 million bat calls, revealing new insights into bat species distribution, behavior, and habitat use. Combining this technology with thermal imaging, researchers gain a deeper understanding of bats’ nocturnal activities and social interactions, aiding conservation efforts to protect these rare mammals. ---
**Author:** ![artesia](https://www.artofsm.art/user_avatar/www.artofsm.art/artesia/32/36_2.png) [@artesia](https://www.artofsm.art/u/artesia)\ **Post date:** [30 October 2026 10:20 UTC](https://www.artofsm.art/t/ai-is-unlocking-the-secrets-of-these-rare-bats-bbc-news/27150/3 "2026-10-30T10:20:47Z")
The video explores the fascinating world of bats in England’s woodlands, focusing on a new large-scale acoustic survey that has recorded over 90 million bat calls. The survey aims to provide the clearest snapshot to date of bat populations across English woodlands, which are crucial habitats often overlooked compared to bats roosting in buildings. Experts guide viewers through a secret location in a “haunted” wood to observe bats emerging from caves and tree roosts at dusk, highlighting the importance of ancient woodlands with large trees for bat habitats. Bats use echolocation to navigate and hunt insects, emitting high-frequency calls that humans cannot hear. Special detectors capture these ultrasonic sounds, allowing researchers to identify feeding behavior and track bat activity. The survey employs ultrasonic microphones placed in over 300 woodlands, continuously recording bat calls throughout the night. This technology has helped discover rare species like the barbastelle bat in new areas, providing valuable data on their distribution and habitat preferences. Analyzing the vast amount of acoustic data manually would take decades, so researchers have turned to artificial intelligence. AI algorithms convert bat calls into visual spectrograms and recognize species-specific patterns, enabling rapid classification of different bat species. This approach has revealed detailed insights into how bats use woodlands and which environmental factors influence their activity, informing better woodland management and conservation strategies. As night falls, thermal cameras capture the bats’ swarming behavior outside caves, revealing intricate flying patterns and social interactions that resemble dancing. These gatherings are believed to be important for mating and communication, though much about swarming remains unknown. The combination of acoustic monitoring and thermal imaging provides a richer understanding of bat behavior in their natural habitats without disturbing them. Overall, the survey represents an unprecedented effort to unlock the secrets of England’s bats by combining cutting-edge technology with expert knowledge. The extensive data collected offers a unique opportunity to deepen scientific understanding, support conservation efforts, and ensure the protection of these rare and vital mammals for the future. ## Useful Links - [Bat Acoustic Survey Data and Methodology](https://www.forestresearch.gov.uk/research/the-ncea-national-woodland-bat-survey/) — Directly substantiates the scale and data collection methods of the bat survey described in the video. - [Bat Detect AI Algorithm by University of Central Florida and University of Edinburgh](https://serdp-estcp.mil/projects/details/93cde5d0-a133-4913-924f-f5ac726f7e34/deep-learning-to-improve-the-effectiveness-of-automated-bat-call-classification) — Explains the AI technology used to analyze bat calls and identify species, a central claim in the video. - [UK Bat Conservation Trust - Barbastelle Bat Species Information](https://www.bats.org.uk/about-bats/what-are-bats/uk-bats/barbastelle) — Provides authoritative species information and conservation status relevant to the rare bats discussed. - [National Forest Inventory (England)](https://data-forestry.opendata.arcgis.com/datasets/0682c7cb180e4abe9dee7e4d5cc35784_0/about) — Supports the integration of woodland habitat data with bat survey results, key to understanding habitat relationships. - [Thermal Imaging for Wildlife Monitoring](https://www.eaglehill.us/nabr-pdfs-special/nabr-004-Kloepper.pdf) — Explains the technology used to capture bat behavior visually at night, complementing acoustic data.