• Home
  • News
  • Outputs
  • …  
    • Home
    • News
    • Outputs
    • Home
    • News
    • Outputs
    • …  
      • Home
      • News
      • Outputs

      Machine Learning Summer School @UNIZA 2026

      The Faculty of Management Science and Informatics at the University of Žilina invites students, PhD candidates, researchers, and industry professionals to participate in the Machine Learning Summer School @UNIZA, which will take place from 14 to 18 September 2026.

      This five-day summer school will focus on modern machine learning and deep learning methods and their practical application to real-world problems. The program will combine expert lectures with hands-on workshops delivered by specialists from both academia and industry.

      The main thematic areas will include applications of deep learning in natural language processing (NLP), transportation, energy, cybersecurity, medicine, computer vision, and other domains.

      The summer school is intended for participants who already have at least a basic knowledge of machine learning, deep learning, and Python.

      Date: 14–18 September 2026
      Venue: Faculty of Management Science and Informatics, University of Žilina, Slovakia
      Registration: http://tiny.cc/mlss
      Event website: http://mlss.fri.uniza.sk/
      Contact: milan.straka@fri.uniza.sk

      The Summer School builds on the research activities of the project "Research and Development of Advanced Artificial Intelligence Solutions for the Detection of Cyber Threats and Defense Against Sophisticated Attacks", which aims to develop advanced artificial intelligence solutions for the detection of cyber threats. Participants will gain insight into modern machine learning methods and their practical applications in areas that represent the project's main research topics.

      Co-financed by the European Union through the Slovakia Programme under project No. NFP401101C360: Research and development of advanced artificial intelligence solutions for the detection of cyber threats and defense against sophisticated attacks.

      Previous
      First project newsletter
       Return to site
      Cookie Use
      We use cookies to improve browsing experience, security, and data collection. By accepting, you agree to the use of cookies for advertising and analytics. You can change your cookie settings at any time. Learn More
      Accept all
      Settings
      Decline All
      Cookie Settings
      These cookies enable core functionality such as security, network management, and accessibility. These cookies can’t be switched off.
      These cookies help us better understand how visitors interact with our website and help us discover errors.
      These cookies allow the website to remember choices you've made to provide enhanced functionality and personalization.
      Save