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Zhongqi Miao added a new External Link - "Adaptive Acoustic Monitoring for Endangered Cook Inlet Beluga Whales in Complex Soundscapes" to Acoustics
Zhongqi Miao added a new Article - "Announcement of Project SPARROW" to AI for Conservation
Zhongqi Miao added a new Discussion - "MegaDetector V6 and Pytorch-Wildlife V1.1.0 !" to AI for Conservation
Zhongqi Miao added a new Discussion - "New frontiers in AI for biodiversity research and conservation with multimodal language models" to AI for Conservation
Zhongqi Miao added a new Discussion - "Pytorch-Wildlife: A Collaborative Deep Learning Framework for Conservation (v1.0)" to AI for Conservation
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- Anyone using Microsoft Sparrow?
Artificial intelligence is increasingly being used in the field to analyse information collected by wildlife conservationists, from camera traps and satellite images to audio recordings. AI can learn how to identify which photos out of thousands contain rare species; or pinpoint an animal call out of hours of field recordings - hugely reducing the manual labour required to collect vital conservation data. The AI For Conservation group is intended to unite and inspire all WILDLABS community members—whether already involved in AI for conservation, or not—to understand how to use and/or directly contribute to open-source research and development efforts.
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- Open-Source Solutions for Amphibian Passive Acoustic Monitoring: Lessons from Patagonia
Monitoring amphibians across the temperate forests of Patagonia presents significant logistical and technical challenges. Remote locations, harsh environmental conditions, and the large volumes of data generated by Passive Acoustic Monitoring (PAM) can make long-term biodiversity surveys difficult to implement and maintain. In addition, environmental data often relies on multiple independent devices, increasing costs, complexity, and logistical demands in remote field conditions. Through the WILDLABS Awards 2025, our team explored practical ways to address these challenges by combining open-source hardware, environmental sensing, and AI-assisted acoustic analysis.
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Zhongqi Miao's Content
Link
Adaptive Acoustic Monitoring for Endangered Cook Inlet Beluga Whales in Complex Soundscapes
Rahul Dodhia and 1 more
New paper from our biodiversity team at Microsoft AI for Good! We developed an adaptive AI framework that combines deep learning, CLAP, and active learning to improve acoustic monitoring of endangered Cook Inlet belugas...
17 June 2026
Article
Announcement of Project SPARROW
Zhongqi Miao
SPARROW: Solar-Powered Acoustics and Remote Recording Observation Watch
18 December 2024
Discussion
MegaDetector V6 and Pytorch-Wildlife V1.1.0 !
Zhongqi Miao
Pytorch-Wildlife V1.1.0Hello everyone, we are happy to announce our release of Pytorch-Wildlife V1.1.0. In this release we have many new features including MegaDetectorV6, HerdNet...
9 November 2024
Discussion
Hello everyone! Please check out our new paper on multimodal language models in biodiversity and conservation: New frontiers in AI for biodiversity research and conservation...
4 August 2024
Discussion
Welcome to Pytorch-Wildlife v1.0At the core of our mission is the desire to create a harmonious space where conservation scientists from all over the globe can unite, share, and...
21 February 2024
Zhongqi Miao commented on "Anyone using Microsoft Sparrow?"