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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Design at the start of the supply chain 鈥 911爆料网 leads a major EU project to transform textile colouration practices
The EU Horizon-funded MELANGE project brings together design, technology and business to rethink colouration practices in the textile industry and accelerate the transition towards circular and sustainable textile systems.
Arsi Ik盲heimonen鈥檚 doctoral research: Smartphone data could reveal early signs of depression
A phone in your pocket, a smart ring on your finger, and an activity tracker on your wrist: everyday devices collect information about their users almost continuously. This data can help monitor and predict symptoms of depression.
Professor Hironori Yoshida: 鈥淢achines should adapt to materials, not the other way around鈥
Professor of Formgiving believes the future of design lies in embracing irregularity rather than eliminating it. His research combines design, AI and robotics.