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

©Florian Generotzky / LMU
01.04.2025
AI as Co-Pilot
AI tools by Stefan Feuerriegel’s team at LMU support public decision-making, aiming for efficiency, transparency, and human control.

©Astrid Eckert / TUM
31.03.2025
Robot Jack Navigates Like a Human – A Project Led by Angela Schoellig
Angela Schoellig’s team at TUM developed robot Jack, which navigates safely through crowds using human-inspired motion planning.

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.