Home  | News

16.09.2024

Teaser image to Ludwig Bothmann is featured in a documentary by Bayerischer Rundfunk

Ludwig Bothmann Is Featured in a Documentary by Bayerischer Rundfunk

Zu Viel Los Im Wald? Mit KI Auf Den Spuren Von Tieren Und Menschen

MCML member Ludwig Bothmann, PostDoc in the group of Director Bernd Bischl is featured in a documentary by Bayerischer Rundfunk titled: "Zu viel los im Wald? Mit KI auf den Spuren von Tieren und Menschen".

In Bavaria, where there is a legal right to freely access nature, encounters between humans and animals frequently occur in forests. The documentary addresses the question of whether wildlife is suffering from the added stress caused by humans and whether animals still have sufficient quiet zones. To answer this question, AI will be employed to analyze footage from various wildlife cameras.

Ludwig Bothmann, as an AI expert, is helping to develop the model and explains some of the challenges the researchers face as well as some advantages of using an AI for this analysis.

#media #bischl
Subscribe to RSS News feed

Related

Link to Anne-Laure Boulesteix Among the World’s Most Cited Researchers

13.11.2025

Anne-Laure Boulesteix Among the World’s Most Cited Researchers

MCML PI Anne‑Laure Boulesteix named Highly Cited Researcher 2025 for cross-field work, among 17 LMU scholars recognized globally.

Link to Björn Ommer Featured in Frankfurter Rundschau

13.11.2025

Björn Ommer Featured in Frankfurter Rundschau

Björn Ommer highlights how Google’s new AI search mode impacts publishers, content visibility, and the diversity of online information.

Link to Fabian Theis Among the World’s Most Cited Researchers

13.11.2025

Fabian Theis Among the World’s Most Cited Researchers

Fabian Theis is named a Highly Cited Researcher 2025 for his work in mathematical modeling of biological systems.

Link to Explaining AI Decisions: Shapley Values Enable Smart Exosuits

13.11.2025

Explaining AI Decisions: Shapley Values Enable Smart Exosuits

AI meets wearable robotics: MCML and Harvard researchers make exosuits smarter and safer with explainable optimization, presented at ECML-PKDD 2025.

Link to

10.11.2025

MCML at ICDM 2025

MCML researchers are represented with 2 papers at ICDM 2025.

Back to Top