18.03.2025

Teaser image to New Method Significantly Reduces AI Energy Consumption

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


Subscribe to RSS News feed

Related

Link to Philipp Wicke Explores Embodied AI

23.07.2025

Philipp Wicke Explores Embodied AI

MCML Junior Member Philipp Wicke explores how embodiment shapes intelligence in a new LMU research film on the role of the body in AI.

Link to Every Household Needs a “Digital Chimney Sweep”– Insights from Johannes Kinder

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.

Link to  AI as Co-Pilot

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.

Link to Robot Jack Navigates Like a Human – A Project Led by Angela Schoellig

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.

Link to Björn Schuller was featured on ARTE TV

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.