Automatically produced news videos are just as well received as manually created ones when humans oversee the automation process according to a study by Prof. Dr. Neil Thurmann and his chair. The research, which surveyed 4,200 UK news consumers, found that videos produced solely by AI are less popular. The study emphasizes the importance of a hybrid approach that combines human oversight with AI to ensure quality and efficiency in the production of news videos.

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The LMU Machine Learning meetings provide a platform for physics students and experts to explore the intersection of machine learning and physics. Organized by students under the guidance of Prof. Dr. Thomas Kuhr, these online talks are held at least once per month to share innovative projects and insights. We invite interested individuals and experts from broader fields to join our discussions and contribute their professional opinions. To stay updated on upcoming meetings and events, please sign up for our mailing list. Everyone interested is warmly invited to join our discussions. For more information and to contribute, please contact Boyang Yu.

What does the future of Artificial Intelligence (AI) look like and what are new developments in research? Outstanding national and international AI scientists and decision-makers from politics, business and the media will come together at this year’s Munich AI Day 2024 on Thursday, July 4, 2024 at 14:00 to shed light on these  questions. The aim of the summit, organized by the Munich Center for Machine Learning, is to discuss the potentials of AI in different fields. The Streaming-Link will be published here shortly before the event starts.

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The Chair of Ethics of Artificial Intelligence (Prof. Dr. Sven Nyholm) cordially invites everyone to a panel discussion on Tuesday, July 9, 2024  from 17:30 to 19:00 at the Senatsaal, Geschwister Scholl Platz 1: Can Ethics Ensure Trustworthy AI? This event is part of the event series "Comparing Notes on Trustworthy AI" in cooperation with the Liquid Legal Institute and appliedAI.

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Prof. Dr. Alexei (Alyosha) Efros is a professor at UC Berkeley and a member of the Berkeley Artificial Intelligence Research Lab (BAIR). His research is in the area of computer vision and computer graphics, especially at the intersection of the two. Everyone is cordially invited to the next lecture Munich AI Lectures on Wednesday, July 17, 2024 at 18:30 in the Plenarsaal of the Bavarian Academy of Sciences in Munich. Professor Alexei A. Efros from UC Berkeley will speak on the topic "We are (still?) not giving data enough credit". Please register for the event here. The lecture will also be available as a livestream. 

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