AI in the wild: How Neural Networks Help Us Understand Our World Through Sound
Event date: 2026-03-26
Event location: Lindholmsallén 10, Gothenburg

Welcome to this week’s Learning Machines seminar.
This seminar is a collaboration between RISE and Climate AI Nordics – climateainordics.com.
Title: AI in the wild: How Neural Networks Help Us Understand Our World Through Sound
Speaker: Jeppe Rasmussen, University of Copenhagen
Abstract: Bioacoustics, the study of nature’s sounds, has long been a powerful tool for studying wildlife. With the rise of artificial intelligence, particularly deep learning, the potential of this field has expanded dramatically. By applying advanced AI algorithms to bioacoustic data, researchers can now identify and monitor species with greater accuracy, even in environments where visual observation is difficult, such as dense forests or deep oceans.
This capability is especially critical as we face the sixth mass extinction. AI-enhanced monitoring offers new hope for conservation by providing deeper insights into the presence, behavior, and well-being of endangered species. Beyond detection, AI also opens doors to understanding animal communication and emotional states, thanks to its ability to autonomously identify and prioritize key acoustic features.
In this talk, I will present a series of case studies spanning multiple species and ecosystems to illustrate how cutting‑edge AI research can meaningfully advance our understanding of the living, complex world around us—and how these methods can help mitigate the biodiversity crisis we face and discover the surprisingly rich inner life of the animals surrounding us.
About the speaker: Jeppe Have Rasmussen received his PhD in bioacoustics from the University of Southern Denmark (SDU) in 2018 and has since worked at the intersection of bioacoustics and artificial intelligence in Germany, the USA, and Norway.
His research spans a wide range of species—from farm animals such as pigs to marine mammals like whales—and he was featured in the documentary "If Pigs Could Talk," recently broadcast across Europe, including Sweden.
2024 he published an article in Science exploring how AI and bioacoustics can revolutionize the monitoring of animal populations. He is currently based at the University of Copenhagen working on detecting and classifying vocalizations from narwhales in Greenland.
Location: Lindholmsallén 10, Gothenburg, or online using Zoom.
Date: 2026-03-26 15:00
This seminar will have an in-person presence at RISE office in Gothenburg located at Lindholmsallén 10, third floor. Make sure that you arrive in good time and ring the bell at the door.
Upcoming seminars:
- 2026-05-28: Kelsey Doerksen, Oxford Applied and Theoretical Machine Learninch Group (OATML)
- All seminars are 15:00 CET.
More information and coming seminars: https://ri.se/lm-sem
– The Learning Machines Team
