Events

Landmines and unexploded bombs make huge areas of former war zones too dangerous to use, and clearing them is slow and risky. Join us in the Science Library where Associate Professor Tønnes Nygaard will talk about how humanitarian demining works today, and how robots and AI could make it faster and safer.

Welcome to this week's lunch seminar in the dScience lounge with Iver Oknes.

Are you curious about how ChatGPT and other large language models work? This course will give an introduction to AI and Large Language Models (LLMs) like ChatGPT, Gemini Notebook and Gemini

Learn how to customize and automate Nettskjema questionnaries to fit your workflow

A hands-on workshop to build and experiment with virtual networks and Software-Defined Networking (SDN)

Classifying Large Text Corpora

A hands-on introduction to coding agents inside your editor, with the AI models of your choice: from your first agent session to reproducible, citable analysis code, including code you can run on sensitive data in TSD

Discover the infrastructure available for research computing provided by UIO

Case based study of relational database data modeling

What does your writing practice look like, and is it suitable for the work you (want to) do?

A free, open-source program to organise and annotate your archive photos

A go-to-guide with tips and tricks for how to share your research data

Learn to develop more control over your academic writing

How to use an (Open Source) software tool with LLMs provided by the university to get work done more efficiently

A Hands-On Full-Day Seminar

A hands-on workshop on using Python and PyGMT to visualize, map, and analyze geospatial data for scientific research and spatial interpretation

Explore why semantically relevant information is not always reliable or appropriate, and learn practical ways to evaluate retrieval quality in AI systems

Make historical manuscripts and prints from any era and in any language and script machine-readable with the web application Transkribus

Learn how to create a data management plan to be shared in your research group

Collaboration-focused workshop on how the Omnipy Python library can provide structure, transparency and accountability to the human/AI-agent interaction when fetching, investigating, wrangling and analysing research data

We will walk you through the basic principles of data anonymization and share strategies for both pseudonymization and anonymization of personal data

Who owns the code that AI wrote?

Building shiny apps in the Norwegian context