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

research Statement

gAIn is pioneering a theory-driven framework to revolutionize AI through disruptive hardware-software solutions, addressing critical barriers in energy efficiency, reliability, regulatory compliance, and computability.
 

cutting
edge

news & Events

  • How Machines Explore, Conjecture, and Discover Mathematics

    How Machines Explore, Conjecture, and Discover Mathematics

    On February 12th 2026 Prof. Dr. Sebastian Pokutta gave an interesting lecture entitled “How Machines Explore, Conjecture, and Discover Mathematics.” This Munich AI Lecture was suppported by BAIOSPHERE and our projekt! more

  • Two productive days for gAIn in Dresden

    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

    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

About us

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