What’s our gain?
Leading experts from Bavaria and Saxony are joining forces to tackle the key challenges of today’s AI — energy efficiency, computability, reliability, and legal compliance. Together, they are developing innovative hardware and software solutions to shape Next Generation AI Computing: gAIn.

gAIn – Next generation AI Computing
Our contribution to the scientific community:
click to see our publications
news & Events
-

Two productive days for gAIn in Dresden
We had our project meeting in Dresden: The Principal Investigators Frank Fitzek, Stefanie Speidel, Gitta Kutyniok, and Holger Boche, as well as all participating researchers, came together for two days of intensive exchange and collaboration. more
-

Tonight at 9 p.m. on 3sat – NANO TALK
Don’t miss our gAIn PI Prof. Dr. Stefanie Speidel discussing how AI, robotics, and novel sensors are shaping the next generation of surgical robotics. more
-

17th World Congress on Computational Mechanics & 10th European Congress on Computational Methods in Applied Sciences and Engineering
We are excited to share that our mini-symposium “Rethinking AI: Energy Efficiency and the Future of Computation” has been accepted to the WCCM-ECCOMAS 2026! more
About US and our team

CONTACT
Elisa Tottoli
Project coordinator
Bavarian AI Chair of Mathematical Foundation of AI
LMU München
Akademiestraße 7
80799 München
Phone: +49 89 2180 4418
coordinators.gain@lmu.de
Dr. -Ing. Zhaoyu Chen
Scientific coordinator
Translational Surgical Oncology (Prof. Stefanie Speidel)
German Cancer Research Center (DKFZ)
National Center for Tumor Diseases (NCT/UCC) Dresden
Fetscherstraße 74
PF 64
01307 Dresden
Germany
Phone: +49 (0)351-458 17233
coordinators.gain@lmu.de