08.11.2024

Teaser image to MCML PI Gitta Kutyniok featured on Plattform Lernende Systeme

MCML PI Gitta Kutyniok Featured on Plattform Lernende Systeme

Plattform Lernende Systeme Highlights Her Contributions to the Mathematical Foundations of AI

MCML Principal Investigator and Bavarian AI Chair Gitta Kutyniok has been featured on Plattform Lernende Systeme.

Her profile highlights her pioneering research in the mathematical foundations of AI, bridging advanced theories with real-world applications. The impact of her work is profound in shaping the direction of AI research.

08.11.2024


Subscribe to RSS News feed

Related

Link to Eyke Hüllermeier to Lead New DFG-Funded Research Training Group METEOR

22.07.2025

Eyke Hüllermeier to Lead New DFG-Funded Research Training Group METEOR

MCML PI Eyke Hüllermeier to lead new DFG-funded RTG METEOR, uniting ML and control theory to build robust, explainable AI systems.

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 New Method Significantly Reduces AI Energy Consumption

18.03.2025

New Method Significantly Reduces AI Energy Consumption

Felix Dietrich and his team at TUM developed a new method that significantly reduces AI energy consumption, making AI more efficient and sustainable.