Multispectral Imaging 

In collaboration with David Messinger, Juilee Decker and team MISHA at the Rochester Institute of Technology, Ekta Vats and her group are developing a cost-effective MSI system in the lab that will enable research studies on degraded manuscripts. This pre-study is partially supported by the Kjell och Märta Beijer Foundation and our heartfelt gratitude to Prof. Thomas Schön for his encouragement and support. Together with the National Library of Sweden, we aim at potentially leading MSI-based digitisation and research on historical manuscripts in Sweden.

Beijer Laboratory for Artificial Intelligence Research

• Read about our lab here!
• Beijer Researcher spotlight: How AI and machine learning can help address societal challenges?
• Ekta Vats’ interview with Beijerstiftelsen: 3 frågor till nya Beijerforskaren Ekta Vats (3 questions for the new Beijer Researcher Ekta Vats)

New course

In the autumn of 2024, we launched a new course on Large Language Models and Societal Consequences of Artificial Intelligence for the Masters students at Uppsala University. 

Learning outcomes: On completion of the course, the student should be able to:

• Explain the fundamentals about large language models, their capabilities and limitations.
• Explain important principles behind how large language models work, the model architectures and training algorithms.
• Document data usage and describe the role of data in determining the model performance.
• Build a large language model based chatbot application, explain its use and associated ethical considerations.
• Describe the social biases and harms associated with large language models.
• Critically examine the potential societal consequences of artificial intelligence for ethics and sustainability.