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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Samu Taulu develops next-generation brain imaging methods
Associate Professor of neurostimulation and neuroimaging Samu Taulu develops more precise methods for understanding the brain
EAA Best Paper and Presentation Award for Young Researchers for postdoctoral researcher Thomas Deppisch
The awarded work shows how speech can be made clearer in noisy environments while still preserving directional cues
Professor Hanna Maylett: 鈥淲ithout time spent together, a shared vision cannot emerge鈥
According to Hanna Maylett, associate professor of film directing, a director doesn鈥檛 need to know all the answers; rather, their role is to create a process through which those answers can be discovered together.