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Wrocław Tech · Department of Artificial Intelligence

Centre for AI Applications

We do research, bring AI into industry and science, and train the people who do it. We connect researchers, partners and students around problems that need teamwork.

R&D
Cooperation
3
Pillars
6
Thematic areas
Contact
First step

Three pillars

  1. 01

    Research

    Basic and applied AI research, interdisciplinary work, publishing in leading venues and funding from national and European programmes.

    • ERC, Horizon Europe, NCN, NCBR and FNP proposals
    • Joint teams with other faculties and universities
    • Open publications, code and data
    More
  2. 02

    Implementation & partnerships

    Work with companies and the public sector, from pilots to multi-year programmes. We agree the scope, access to infrastructure and data, and the required documents individually.

    • Pilot or proof of concept — schedule agreed individually
    • Research, service and education agreements
    • Knowledge and technology transfer
    More
  3. 03

    Education & outreach

    Staff development, scientific, educational and business events, sharing research results and individually agreed support for student research groups.

    • Training and workshops for companies and institutions
    • Seminars, hackathons, open days
    • Discussing support options for student research groups
    More

Mission

Artificial intelligence is now a basic tool of modern science. The Centre exists so that researchers, partners and students meet around real problems, and research results reach the economy and society faster.

What we work on

  • Foundation models

    Large language and multimodal models, their adaptation, evaluation and efficient deployment.

  • ML in life sciences

    Machine learning in medicine, biology and chemistry, from omics data to imaging.

  • AI & society

    The impact of AI on work, education and public debate; responsible and lawful applications.

  • Data science

    Data analysis and engineering, predictive and decision models for industry and administration.

  • HPC

    Large-scale computing, model training and serving on GPU clusters.

  • AI safety

    Reliability, adversarial robustness, privacy and auditing of AI systems.

Funding programmes to considerERCHorizon EuropeNCNNCBRFNP

Become a partner

Tell us what problem you want to solve. We will agree a first conversation subject to team availability.