Since the release of ChatGPT in 2022, the topic of AI moved from being a research and industry dominated topic to a widespread public discussion. While politicians and Big Tech want more AI and aim for the ultimate Artificial Superintelligence, we should start talking more about whether this is safe or not. Generating a hamster riding a dog is cool but what are the bigger safety issues behind it?

At the intersection of Child-Computer Interaction (CCI), Learning Analytics (LA), and Artificial Intelligence (AI), this research explores how MSEs can be designed and evaluated to optimize interaction modalities, support learning analytics, and enhance hybrid intelligence (HI) collaborations between AI and educators.

Ultra-High-Field Magnetic Resonance Imaging (UHF-MRI) has recently become the tool of predilection for studying the brain for neuroscientists. However, segmentation tools for brain images have not followed the same trend and are currently hindering the full potential of UHF-MRI in neuroscience. In this talk, I will present a new segmentation tool we have developed here at NTNU for UHF-MRI images.

What if the key to faster and energy-efficient technology lies in making electrons do something extraordinary? Meet electron spin—a quantum property of electrons that can be controlled and manipulated. Unlike conventional electronics, which rely on electrons' charge, spintronics utilizes electrons' spin. Join me to explore how spinning electrons could drive the future of sustainable computing.