• 10 December, 2025

    By Dr. Dan Stowell

    There are many ethical dimensions of AI. We work on “Bioacoustic AI” – we connect automated sound analysis to ecosystems and to the lives of many animals. So it’s important to take some time to

  • 16 November, 2025

    By Dr. Pavel Linhart

    The International Bioacoustics Congress (IBAC) happens every two years. It’s one of the scientific meetings valued by many of us in the Bioacoustic AI network, because it brings together many different people who focus on

  • 1 October, 2025

    By Dr. Ariana Strandburg-Peshkin

    How do animals coordinate with one another? Have you ever tried to coordinate with a group? Maybe you and your friends were trying to decide where to go to dinner, or even what route to

  • 18 June, 2025

    By Vincent Kather

    Bacpipe, short for bioacoustic collection pipeline, is a software tool that I have been working on since the beginning of my PhD. The idea was to create an easy-to-use tool that allows us to compare

  • 17 May, 2025

    By Ilaria Morandi and Minkyung Kwak

    Our 2025 field season is well underway! Data collection began in late February and will continue until the end of July. We’re focusing on the Yellowhammer (Emberiza citrinella), a small songbird with a surprisingly distinctive

  • 13 January, 2025

    By Dr. Dan Stowell

    I asked our 10 doctoral candidates for their favourite research papers they’ve been reading in 2024. Their responses were really interesting – altogether, a great list of research papers. Inspiration for bioacoustic AI! Here are

  • 21 August, 2024

    By Dr. Dan Stowell

    In this meeting, we gather together people who work on evaluation/benchmarking of machine learning for bioacoustic tasks – typically, evaluating systems that aim to recognise animal sounds. There are now many such systems, and there

  • 5 December, 2023

    By Dr. Dan Stowell

    As we launch our new "Bioacoustic AI" research project, I thought it a good idea to look over the state of the art in machine learning methods for animal sound. This short article aims to give you an update on interesting machine learning developments I have seen.