18.03.2025
©TUM
New Method Significantly Reduces AI Energy Consumption
TUM News Article
Researchers at the Technical University of Munich have developed an innovative method that drastically lowers the energy consumption of artificial intelligence systems. The approach optimizes computational efficiency, making AI applications more sustainable and cost-effective.
Our Associate Felix Dietrich emphasized the importance of energy-efficient AI, highlighting its potential to reduce environmental impact while maintaining high-performance capabilities.
18.03.2025
Related
10.03.2025
Björn Schuller Was Featured on ARTE TV
Björn Schuller was featured in an ARTE TV documentary on AI therapy, presenting his research on emotion recognition.
26.02.2025
AI Competition: Where Does Europe Stand?
Gitta Kutyniok talks to Plattform Lernende Systeme about Europe’s AI competitiveness and the role of mathematics in AI.
19.02.2025
Angela Schoellig on the BR Podcast
Our PI, Angela Schoellig, discussed the vital role of mathematics in robotics and everyday life on the Blaue Couch podcast.
14.02.2025
Reinhard Heckel on Bayerischer Rundfunk
Reinhard Heckel spoke on BR24 about OpenAI's new Munich office, highlighting the city's deeptech scene, talent, and innovation potential.
