21.11.2024
©TUM
Zeynep Akata Selected as One of the 'Top 40 Under 40'
Helmholtz Newsroom
The Capital Magazine selected our PI Zeynep Akata as one of the Top 40 Under 40. In this interview, she shares insights insights into her groundbreaking work in explainable and robust artificial intelligence. She discusses how her research bridges the gap between complex AI systems and practical applications, particularly in healthcare, emphasizing the need for transparency and reliability in AI decision-making.
«I am looking forward to tackling this challenge and observing the growth of the seeds that I’ll be planting over the years.»
Zeynep Akata
MCML PI
Related
15.10.2026
When Flatter Is Not Always Better
In their ICML 2026 paper, MCML researchers show why the flattest regions found during neural network training are not always the best.
13.10.2026
Björn Schuller: What Your Voice Reveals About Your Health
MCML PI Björn Schuller explores how AI can analyze the human voice to detect signs of disease and reveal insights into our health.