24.11.2025
Gauss AI Compute Grant Supports Matthias Niessner's MeshFoundation Project
The MeshFoundation Project Will Leverage the JUPITER Exascale Supercomputer to Develop a General-Purpose Foundation Model for 3D Meshes.
We are pleased to announce that MCML PI Matthias Niessner has been selected as a winner of the Gauss AI Compute Competition for his project MeshFoundation: Building a General-Purpose 3D Mesh Foundation Model via Extreme-Scale Context Transformers on JUPITER. The award provides access to the JUPITER exascale supercomputer to accelerate cutting-edge AI research.
The MeshFoundation project aims to develop a general-purpose foundation model for 3D meshes by leveraging extreme-scale context transformers. Access to JUPITER's computational resources will enable large-scale training and advance AI methods for understanding and generating complex 3D data.
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When Flatter Is Not Always Better
In their ICML 2026 paper, MCML researchers show why the flattest regions found during neural network training are not always the best.
13.10.2026
Björn Schuller: What Your Voice Reveals About Your Health
MCML PI Björn Schuller explores how AI can analyze the human voice to detect signs of disease and reveal insights into our health.
