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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09.11.2026
Outstanding Paper Award at EMNLP 2026 for Work on Accent Bias in Audio Language Models
A paper co-authored by MCML PI Valentin Hofmann on accent bias in audio language models won an Outstanding Paper Award at EMNLP 2026.
06.11.2026
Best Thesis Award for Sohir Maskey
Former MCML Junior Member Sohir Maskey received the Best Thesis Award of the DFG Priority Programme 2298 for his PhD on graph neural networks.
