Swedish Dig-It Lab Ontology workshop – Normalisation and open standards are key to scalability
This workshop on ontologies, digitalisation and standardisation in rreal estate was held on the 22nd of January 2025. Several representatives from different companies and organisations took part and presented their projects and ideas on how one can use ontologies and the semantic web to make property management more efficient.
The workshop aimed to increase awareness on the importance of ontologies, standardisation and collaboration to promote digitalisation within real estate. The discussions also touched upon the future potential of AI agents and how they can contribute to optimising property performance.
Watch: Normalisation and open standards are key to scalability (In Swedish)
AI applications in Sustainable Energy Engineering
This lecture is about ethical aspects of using artificial intelligence, advantages, limitations, and risks connected to AI, dealing with current research topics and challenges, providing insights into ongoing debates and practical issues. It also explores the hype around AI, addressing both its potential and its pitfalls.
Speaker: Alva Markelius is a PhD candidate and Cambridge Trust Scholar at the Affective Intelligence and Robotics Laboratory (AFAR), Department of Computer Science, at the University of Cambridge and recipient of Top 100 Brilliant Women in AI Ethics™ award 2024. Furthermore, she is committee chair of the Centre for Human Inspired AI Early Career Community and student steward for Better Images of AI.
Course: The lecture is part of the course ”AI applications in Sustainable Energy Engineering” (MJ2507). The course aims to bring the students knowledge about key concepts that form artificial intelligence (AI), and their applications within the field of sustainable energy engineering. With focus on machine learning (ML), the students will be given insight in the fundamental theory and algorithms that shape ML models, as well as how to select method and data based on various applications. The course also introduces potential implications for energy businesses, as well as ethical aspects of using artificial intelligence.
More info at https://alvamarkelius.github.io/
Course responsible: Farzin Golzar
Watch: AI applications in Sustainable Energy Engineering