23.01.2025

Teaser image to Gitta Kutyniok Speaks at DLD Conference 2025

Gitta Kutyniok Speaks at DLD Conference 2025

Next Generation AI Computing

We are proud to share that our PI Gitta Kutyniok was an invited speaker at the prestigious DLD Conference 2025, participating in the BAIOSPHERE track.

In her talk, titled "Next Generation AI Computing", Gitta highlighted the critical role of advanced computing in ensuring the sustainability and reliability of future AI systems. She addressed challenges such as energy consumption, reliability, and compliance with the EU AI Act, while also exploring solutions like analog, neuromorphic, quantum, and biocomputing.

This talk also introduced the GAIn project, a collaborative effort with colleagues from TUM and TU Dresden, aimed at developing energy-efficient and trustworthy AI systems.

#event #research #kutyniok

Related

Link to MCML Welcomes Student Delegation from HEC Montréal

22.07.2026

MCML Welcomes Student Delegation From HEC Montréal

MCML welcomed students from HEC Montréal for discussions on AI research, ethics, and international academic collaboration.

Read more
Link to Timo Heiß Receives Best Student Paper Award at XAI 2026

21.07.2026

Timo Heiß Receives Best Student Paper Award at XAI 2026

Timo Heiß receives the Best Student Paper Award at XAI 2026 for research on improving feature effect estimation in explainable AI.

Read more
Link to The Learning Rate Does More Than Set the Pace

21.07.2026

The Learning Rate Does More Than Set the Pace

New ICML 2026 research by Gitta Kutyniok and her team shows how learning rates balance competing biases that shape neural network generalization.

Read more
Link to How fair does AI seem in job interviews?

20.07.2026

How Fair Does AI Seem in Job Interviews?

A new study by Enkelejda Kasneci examines how applicants perceive fairness in AI-driven job interviews.

Read more
Link to TUM develops intelligent 3D twins of crime scenes

20.07.2026

TUM Develops Intelligent 3D Twins of Crime Scenes

AI-powered 3D twins enable investigators to analyze virtual crime scenes through interactive object recognition and scene understanding.

Read more
Back to Top