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
©LC Productions/LMU
26.06.2025
Every Household Needs a “Digital Chimney Sweep”– Insights From Johannes Kinder
MCML Associate Johannes Kinder highlights the security risks of smart devices in homes, emphasizing the need for regular updates and user awareness.
©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.
