ETH AI Center

ETH AI Center is the artificial intelligence research coordination body of ETH Zurich (Swiss Federal Institute of Technology Zurich), founded in 2020 in Zurich, Switzerland, with a mandate to coordinate and advance AI research across the broader ETH Zurich research institute. ETH Zurich is one of the principal European technical universities, with computer science, electrical engineering, and other technical research output. The AI Center's research scope spans machine learning, computer vision, natural language processing, robotics, AI for science, AI safety and governance, and other application areas. As of April 2026, ETH AI Center is one of the principal European academic AI research centers, with faculty including Andreas Krause, Thomas Hofmann, and other senior researchers, and cross-institution research-cooperation across the broader European AI research ecosystem.

At a glance

• Founded: 2020 in Zurich, Switzerland, as the ETH AI Center, the AI research coordination body of ETH Zurich.
• Status: Research center within ETH Zurich. Coordinates AI research across the broader university.
• Funding: ETH Zurich university funding, plus Swiss federal research funding, EU research grants, and selected industry-cooperative-agreement funding.
• Director: Andreas Krause, Director (since founding). Hans-Sigrist Professor of Computer Science.
• Other notable leadership and faculty: Thomas Hofmann, Professor of Computer Science. Mrinmaya Sachan, Assistant Professor of Computer Science. Niao He, Assistant Professor.
• Open weights: Yes, partial. Selected research outputs released open-source through GitHub.
• Flagship outputs: Published research output across machine learning, computer vision, natural language processing, robotics, AI for science, and other application areas. Cross-institution research-cooperation including the Swiss AI Initiative (an EU-Swiss collaborative AI research program). AI compute partnerships including a 2024 partnership with NVIDIA Research for the Alps supercomputer at the Swiss National Supercomputing Centre (CSCS).

Origins

The ETH AI Center was founded in 2020 to consolidate and coordinate AI research across ETH Zurich's faculty base. ETH Zurich, founded in 1855 as Switzerland's federal technical university, has computer science research presence with foundational contributions including the Pascal programming language (Niklaus Wirth, 1970), the Modula programming language family, and other foundational computer-science research.

The 2020 founding period coordinated existing AI research across the ETH Zurich Department of Computer Science, the Department of Information Technology and Electrical Engineering, the Department of Mechanical and Process Engineering, and other departments. Andreas Krause, the Hans-Sigrist Professor of Computer Science with machine-learning and Bayesian-optimization research output, anchored the founding directorship.

The 2021 to 2024 period saw faculty recruitment and cross-institution research-cooperation. The Swiss AI Initiative, a Swiss federal research program coordinating AI research across ETH Zurich, EPFL (Swiss Federal Institute of Technology Lausanne), and other Swiss research institutions, anchored Swiss federal AI research-coordination through 2022 to 2026.

The 2024 partnership with NVIDIA Research for the Alps supercomputer at the Swiss National Supercomputing Centre (CSCS) anchored the AI Center's compute infrastructure for foundation-model research and AI-for-science applications. The Alps system, with NVIDIA Grace Hopper Superchip compute architecture, has been one of the principal European AI compute resources through 2024 to 2026.

The 2024 to 2026 period has continued faculty research output and cross-institution research-cooperation across the broader European AI research ecosystem.

Mission and strategy

ETH AI Center's stated mission is to advance AI research and education at ETH Zurich, with emphasis on coordinating cross-departmental AI research and providing a principal European academic AI research-coordination body. The center's strategic premise reflects ETH Zurich's broader technical-university positioning, with faculty independence and open-research output through major academic venues.

The strategy has three threads. First, faculty-led AI research across machine learning, computer vision, natural language processing, robotics, AI for science, and other areas. Second, cross-institution research-coordination through the Swiss AI Initiative and other European research-cooperation programs. Third, AI compute partnerships including the Alps supercomputer at CSCS for foundation-model research and AI-for-science applications.

The competitive premise reflects ETH AI Center's distinct positioning as a principal European academic AI research center: faculty independence, Swiss federal research-funding stability, European Union research-grant access, and cross-institution research-cooperation across the European AI research ecosystem.

Distribution channels include open-research publication through major academic venues, open-source code releases through GitHub, the Alps supercomputer for AI compute access, and cross-institution research-cooperation across European academic and industry AI peers.

Models and products

• Published research output. Across machine learning, computer vision, natural language processing, robotics, AI for science, AI safety and governance, and other application areas.
• Swiss AI Initiative. Swiss federal research program coordinating AI research across ETH Zurich, EPFL, and other Swiss research institutions.
• Alps supercomputer (NVIDIA partnership). AI compute resource at the Swiss National Supercomputing Centre (CSCS), with NVIDIA Grace Hopper Superchip compute architecture. One of the principal European AI compute resources.
• Cross-institution research-cooperation. Cooperation with EPFL, Tübingen AI Center, Max Planck Institute for Intelligent Systems, Mila, and other European and global academic AI peers.

Distribution channels include open-research publication, open-source code releases, the Alps supercomputer for AI compute access, and cross-institution research-cooperation.

Benchmarks and standing

ETH AI Center's evaluation framework is academic-research output (publication count, citation impact, faculty-led research-program quality) rather than horizontal foundation-model leaderboards. ETH Zurich faculty have been consistently characterized in academic AI industry coverage as one of the principal European academic AI research outputs, alongside EPFL, Tübingen AI Center, Max Planck Institute for Intelligent Systems, INRIA, and other European academic peers.

The Alps supercomputer at CSCS has been characterized in scientific computing industry coverage as one of the principal European AI compute resources through 2024 to 2026, with AI workload capacity for foundation-model research and AI-for-science applications.

Leadership

As of April 2026, ETH AI Center's senior leadership includes:

• Andreas Krause, Director (since founding). Hans-Sigrist Professor of Computer Science. Machine-learning and Bayesian-optimization research output.
• Thomas Hofmann, Professor of Computer Science. Natural-language-processing and information-retrieval research output.
• Mrinmaya Sachan, Assistant Professor of Computer Science. Natural-language-processing research.
• Niao He, Assistant Professor. Optimization and machine-learning research.
• Senior faculty across the center's principal research areas including machine learning, computer vision, natural language processing, robotics, AI for science, and AI safety and governance.

Continued senior faculty recruitment has supported the center's continued research output through 2020 to 2026.

Funding and backers

ETH AI Center operates under ETH Zurich university funding plus Swiss federal research funding through the Swiss National Science Foundation, EU research grants through the European Research Council and other EU programs, and selected industry-cooperative-agreement funding. Specific center-internal budget allocations are not separately disclosed.

Swiss federal research-funding stability and EU research-grant access provide ETH AI Center with financial-runway certainty. Open questions on near-term funding are limited compared to private labs, given the academic-research-funding base.

Industry position

ETH AI Center occupies a distinctive position as one of the principal European academic AI research centers, with faculty including Andreas Krause and other senior researchers, the Swiss AI Initiative cross-institution research-coordination, the Alps supercomputer compute infrastructure, and cross-institution research-cooperation across the broader European AI research ecosystem.

Industry coverage has consistently characterized ETH AI Center as one of the principal European academic AI research centers, alongside EPFL, Tübingen AI Center, Max Planck Institute for Intelligent Systems, and other European academic peers.

Competitive landscape

• EPFL (Swiss Federal Institute of Technology Lausanne). Sister Swiss federal technical university with AI research overlap and the Swiss AI Initiative cooperation.
• Tübingen AI Center, Max Planck Institute for Intelligent Systems. Direct German academic AI research peers.
• Mila. Canadian academic AI research peer.
• INRIA, Inria Paris-Saclay. French academic AI research peers.
• Stanford AI Lab (SAIL), MIT CSAIL, CMU SCS, Berkeley BAIR, Princeton Language and Intelligence. US academic AI research peers.
• Tsinghua IIIS, Tsinghua KEG, BAAI, Shanghai AI Laboratory. Chinese academic AI research peers.
• NVIDIA Research. Industry partner; Alps supercomputer compute architecture is NVIDIA-based.
• Aleph Alpha, Mistral AI. European industry AI peers.

Outlook

• Continued faculty research output through 2026 to 2027.
• The Swiss AI Initiative cross-institution research-coordination trajectory.
• Continued partnerships with industry AI labs including NVIDIA Research.
• The Alps supercomputer continued operation and the next-generation compute infrastructure.
• Continued senior faculty recruitment and faculty research-leadership transitions.
• The Swiss federal research-funding and EU research-grant funding trajectory through 2026 and 2027 budget cycles.

Sources

• ETH AI Center official site. Center reference.
• ETH Zurich. Parent university reference.
• Swiss National Supercomputing Centre (CSCS). Alps supercomputer reference.
• Swiss AI Initiative. Swiss federal AI research program.
• ETH Zurich Department of Computer Science. Computer Science Department reference.