16.09.2024

Teaser image to MCML member Ludwig Bothmann is featured in a documentary by Bayerischer Rundfunk (BR)

MCML Member Ludwig Bothmann Is Featured in a Documentary by Bayerischer Rundfunk (BR)

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

MCML member Ludwig Bothmann is featured in a documentary by Bayerischer Rundfunk (BR) 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.

16.09.2024


Subscribe to RSS News feed

Related

Link to Sarah Ball's Research Featured on on the LLM Cybersecurity podcast

20.01.2025

Sarah Ball's Research Featured on on the LLM Cybersecurity Podcast

Sarah Ball's research was featured on the LLM Cybersecurity podcast, emphasizing its impact on AI and cybersecurity fields.


Link to Fabian Theis Discusses AI’s Impact on Healthcare

14.01.2025

Fabian Theis Discusses AI’s Impact on Healthcare

In the "Science Date" segment on "NANO," Fabian Theis discusses AI's role in biomedical data analysis and its future impact on healthcare.


Link to Angela Dai is Advancing Automotive Design with Artificial Intelligence

07.01.2025

Angela Dai Is Advancing Automotive Design With Artificial Intelligence

Our PI Angela Dai develops AI technologies for efficient automotive design, reducing costs and enhancing sustainability through innovative algorithms.


Link to Merry Christmas and a Happy New Year 2025

23.12.2024

Merry Christmas and a Happy New Year 2025

Season’s Greetings from the entire team at the Munich Center for Machine Learning


Link to Daniel Rückert Advances Stroke Diagnosis with AI Innovation

17.12.2024

Daniel Rückert Advances Stroke Diagnosis With AI Innovation

Under Daniel Rückert’s leadership, AI now accurately determines stroke timing, enabling better treatment decisions and improved patient outcomes.