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
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AI Bavaria–Saxony Summit 2026
gAIn has reached the halfway point of its first funding phase. The AI Bavaria–Saxony Summit 2026 will showcase key scientific results and demonstrators achieved so far and, at the same time, look ahead to the next phase of Next Generation AI Computing. more
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gAIn PI Prof. Dr. Frank Fitzek Wins UNIPRENEURS 2026 Founders’ Award
Prof. Frank H. P. Fitzek of TU Dresden received the prestigious UNIPRENEURS 2026 award, honoring his sustained commitment to transferring scientific results directly into the market more
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Reliable and Sustainable AI: gAIn Mini-Symposium at WCCM-ECCOMAS 2026 in Munich
In July, gAIn brought these questions to one of the largest computational science congresses in the world. Our gAIn members Gitta Kutyniok and Massimiliano Datres organized the mini-symposium “Reliable and Sustainable AI: From Mathematical Foundations to Next Generation AI Computing” at the 17th World Congress on Computational Mechanics and the 10th European Congress on Computational… more
About US and our team

CONTACT
Elisa Tottoli
Project coordinator
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