Explore the Swiss AI Large Projects Ecosystem
Discover the ecosystem of projects funded through the first two Large Project Calls of the Swiss AI Initiative. This interactive map highlights the breadth and interdisciplinary nature of AI research across Switzerland and beyond, connecting projects, institutions, and methodologies within a shared national ecosystem.
→ Project Map
Explore how projects cluster across domains and AI approaches. The map highlights the collaborative fabric of the initiative:
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see how projects connect across multiple institutions,
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identify researchers and teams working on related challenges,
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and discover emerging communities and flagship research directions across the Swiss AI landscape.
Each project node contains additional information including project summaries, participating institutions, team members, funding, and computational resources allocated through the initiative.
Projects Highlights
The projects below are a highlighted selection of currently running projects funded through the Swiss AI Initiative.
Apertus: the truly open LLM
Open-source, multi-lingual 70B LLM model trained from scratch on 15 trillion tokens.
ETH Zurich: I. Schlag
EPFL: A. Bosselut, M. Jaggi
Integrating Pedagogy into LLMs
Reliable pedagogically sound LLM-based tutors for university-level engineering education in Switzerland.
ETH Zurich: M. Sachan, G. Kortemeyer
EPFL: T. Käser, P. Jermann
Foundations of Multimodal Learning
The goal of this project is to investigate the foundations of multimodal learning to tackle complex real-world problems.
EPFL: A. Zamir, L. Zdeborova
ETH Zurich: S. Tang, A. Krause
University of Geneva: F. Fleuret
NYU: S. Xie
MIT: P. Isola
Democratizing LLMs for Global Languages
LLMs for underserved language communities via ethical data collection, training multilingual models, and designing benchmarks that reliably evaluate regional and cultural knowledge comprehension in multiple languages.
EPFL: A. Bosselut, M. Jaggi
ETH Zurich: I. Schlag
UZH: R. Sennrich
NUS: B. Low
U of Toronto / Vector Institute: C. Raffel
Clintextualization
Modular, multimodal, multilingual ecosystem of medical LLMs that can be adapted across diverse clinical environments through lightweight contextualization from real world.
EPFL: M-A. Hartley, K. Keitel
ETH Zurich: M. El-Assady
To view the full list of all current and previously funded projects, see above. Further projects will be added over time after their successful application for large and small compute grants.