For Kevin Luck, a postdoc at FCAI was an important step to a faculty position.
Read MorePatrick Rinke’s pioneering expertise in finding sustainable and climate-friendly materials with machine learning methodology has arguably never been more in demand.
Read MoreThe impact of creative AI is unfolding before our eyes, yet we struggle to understand it. It’s the perfect time to ask researchers what they see and think.
Read MoreFCAI postdoc Ulpu Remes develops ELFI, the open-source software for likelihood-free inference.
Read MoreAalto University visiting professor and member of ELLIS Unit Helsinki, Guoying Zhao, on emotion AI, face analysis and visual intelligence
Read MoreFCAI professor Vikas Garg’s research applies deep learning to the fields of quantum computing and drug discovery
Read MoreFCAI visiting professor Ievgen Redko explores how and why machine learning works
Read MoreFCAI postdoc Ayush Bharti boosts wireless communications with signal interaction models
Read MoreMatti Nelimarkka investigates the relationship between technology and politics
Read MoreAssociate professor Laura Ruotsalainen joins FCAI’s steering group, with sustainability-related goals in mind
Read MoreFCAI researcher Christian Guckelsberger wants to teach creativity to computers
Read MoreIn the future robots will work and learn independently, says professor Joni Pajarinen
Read MoreAs an undergraduate, current Aalto PhD student Tuomas Kynkäänniemi calibrated the sensors of a Mars rover for the Finnish Meteorological Institute (FMI). Now, his research is worlds away.
Read MoreHeli Julkunen developed a machine learning method that predicts how different drug combinations kill cancer cells, and now she helps advance preventive healthcare as a data scientist.
Read MoreNew professor of practice wants to apply his AI expertise and make sure usable innovations are brought from research papers into practical use.
Read MoreMilica Todorović uses computational methods for materials science, training AI on her field's vast databases to speed up the search for tomorrow's functional materials.
Read MoreFCAI professor Luigi Acerbi develops new methods for approximate Bayesian inference that are both tools for AI and models of human intelligence
Read MoreData Scientist and Researcher Sakira Hassan believes that when we can harness AI to transform data into knowledge and the means to forecast the future, we are not far away from building a smart world of science fiction.
Read MoreFCAI’s visiting professor Timo Koski´s scientific interests are probability, genetics, causal inference and Bayesian networks.
Read MoreVisiting researcher Andrew Howes is interested in human decision-making and how to build computer systems that enrich human lives.
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