CEST group wins supercomputing Grand Challenge
CEST group researchers from the Department of Applied Physics were awarded a competitive Grand Challenge project on Finland鈥檚 biggest supercomputer Mahti to explore 鈥淎ctive machine learning methods for atmospheric science applications鈥.
Milica Todorovi膰 and Patrick Rinke will manage a 15 million core-hours project, awarded to advance cutting-edge research with large computational needs, in cross-disciplinary collaboration with the groups of Dr. Theo Kurt茅n and Prof. Hanna Vehkam盲ki at University of Helsinki.
Active learning dataset curation techniques, developed by Kunal Ghosh at CEST, will be employed to optimize the quality of machine learning of aerosol condensation properties for small atmospheric molecules. This is important information for atmospheric climate models that shape public policy on climate change.
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H盲meenlinna Art Museum鈥檚 exhibition brings artworks to life through film
H盲meenlinna Art Museum will open a new exhibition Kehyskertomuksia: 24 fps / Reframing Cinema, produced in collaboration with the Aalto University Department of Film ELO.
AI use makes us overestimate our cognitive performance
New research warns we shouldn鈥檛 blindly trust Large Language Models with logical reasoning 鈥撯 stopping at one prompt limits ChatGPT鈥檚 usefulness more than users realise.
Publishing Research Data Alongside Research Articles
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