AutoLearn-SI organized a hands-on workshop on LLMs for Administration at the Jožef Stefan Institute, bringing together administrative colleagues to explore how AI can support everyday work processes. Participants discussed real challenges and practical use cases, gaining insights into how LLMs can help automate parts of their daily workflows.

A one-day training event on May 5, 2026 at the Jožef Stefan Institute in Ljubljana will bring together students, researchers, and entrepreneurs to explore trustworthy AI, data privacy, and security through a scientific tutorial and policy discussion. The program includes sessions on knowledge-graph–powered decentralized personalization, federated and blockchain-based AI architectures, KG-grounded RAG pipelines, hands-on exercises, and a policy overview of the EU AI Act.

The Jožef Stefan International Postgraduate School (MPS), supported by the ERA Chair AutoLearn-SI, will host a Brave Conversations event on May 6, 2026 (09:00–12:00) at the Jožef Stefan Institute in Ljubljana, organized together with Dr. Oshani Seneviratne from Rensselaer Polytechnic Institute. The event is part of a global initiative that creates interactive spaces for open dialogue on emerging technologies and their societal impact, bringing together researchers, students, and professionals for small-group discussions on the future of AI and digital technologies.

As part of AutoLearn-SI, our project coordinator delivered a workshop on LLM-supported automated data analysis at JSI, highlighting ML pipeline fundamentals, the benefits and limitations of LLM-generated code, and practical examples of responsible AI use in research.

Join us on February 26, 2026 (10:00–12:00) at the Jožef Stefan Institute (JSI) for an interactive Science Communication workshop focused on effectively communicating research to the public, stakeholders, and the scientific community. The workshop is open to national and visiting international MSc and PhD students.

We invite researchers to submit their work to the 5th AutoCIS Special Session at WCCI 2026, focusing on advancing automation in computational intelligence through AutoML, evolutionary methods, and real-world optimisation applications.

Day 2 of the AutoLearn-SI workshop focused on future-oriented perspectives in optimization and AI, featuring insightful talks by Dr. Carola Doerr on connecting practical needs with fundamental research in black-box optimization and Associate Prof. Niki van Stein on leveraging large language models for automatic algorithm design.

The first day of the AutoLearn-SI workshop at JSI was a great success, featuring excellent talks by Dr. Ana Kostovska, Dr. Jan van Rijn, and Dr. Sebastian Rojas Gonzalez, and fostering active discussions on benchmarking, AutoML, and Bayesian optimization.

The AutoLearn-SI Two-Day Exploratory Workshop will bring together leading researchers and innovators to discuss the next generation of Automated Machine Learning (AutoML) and Automated Optimization (AutoOpt) — from benchmarking and learning methodologies to large language model (LLM) integration in optimization.

We’re excited to host a ROAR-NET COST Action Code Fest hub in Ljubljana as part of a global 48-hour event focused on collaborative problem modelling and optimization.

At Dnevi slovenske informatike 2025, AutoLearn-SI was featured in both the final panel and project exhibition, highlighting key challenges in responsible AI, including transparency, ethics, and human oversight.

At JSI Open Days 2025, Asst. Prof. Dr. Tome Eftimov presented the AutoLearn-SI project, highlighting its data-driven research and global collaboration opportunities in AI and optimization.

The official kick-off meeting for AutoLearn-SI, a HorizonEU-funded project at Jozef Stefan Institute (JSI), Slovenia. This project establishes an ERA Chair research group to advance AutoML and AutoOPT, integrating cutting-edge automation into research and education.