14.11.2023
©Fabian Helmich - LMU
We Are Not Taking Part in the Scaling Race With Our Algorithms
LMU Newsroom Interview With Our PI Björn Ommer
In this interview our PI Björn Ommer shares his opinion about the current development of Large Language Models. He talks about the problematic of computing power in AI, the importance of data security and how Germany could potentially solve these problems.
«Usually buried in the operators’ small print is the fact that any data entered by users is going to be used for the operators’ own interests, for example to train the LLMs. Companies with extremely sensitive data, like in the medical sector, cannot tolerate that.»
(B. Ommer)
14.11.2023
Related
©TUM
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.
©MCML
16.12.2024
The MCML Outreach Programs in 2024
From school workshops to public events, MCML's 2024 outreach programs brought AI and machine learning closer to students, teachers, and the public.
11.12.2024
Understanding Vision Loss and the Need for Early Treatment
Researcher in focus: Jesse Grootjen is writing his doctoral thesis at LMU, focusing on enhancing human abilities through digital technologies.
©peopleimages- stock.adobe.com
10.12.2024
MCML Featured in Bildung+ Schule Digital Magazine
MCML partners in the KITrans project, featured in Bildung+ Schule Digital, bringing interactive AI education to classrooms.
©TUM
09.12.2024
MCML Director Daniel Cremers on AI's Role in Improving Lives
MCML Director Daniel Cremers discusses how AI simplifies daily life, tackles ethical challenges, and shapes the future with innovative research.