Helsinki ICT Research News

This news feed aggregates content from the Research News feeds from the Helsinki Institute for Information Technology HIIT, Aalto University Department of Computer Science, and the University of Helsinki Department of Computer Science.

  • Ilya Nikolaevskiy, Rakshith Shetty and Klaudia Krawiecka were awarded at the Annual Symposium of Computer Science 4.6.2018 in Turku. Ilya Nikolaevskiy’s doctoral thesis "Scalability and Resiliency of Static Routing" won the award for the best Finnish PhD thesis in computer science in 2017 granted by the Research Foundation for Computer Science. The dissertation presents a deep assessment and investigation of the class of static...
  • An interactive social layer of information can enhance the feeling of togetherness in any public space. An Aalto University experimental study demonstrated how an augmented space with reactive floor-projection in a public building can affect people’s awareness of others’ presence and activities. As a conclusion, the augmented floor visualization “Traces” enhances curiosity and engages a connection with the environment and the people in it. The study used Traces, a visualization technology...
  • Several Aalto Industrial Internet Campus professors participate in the new Nordic IoT Hub. The Hub provides opportunities to researchers and doctoral students for short research visits, joint events, and joint research initiatives such as sharing data sets. Aalto University, KTH Royal Institute of Technology, Lund University, Norwegian University of Science and Technology and Technical University of Denmark have jointly founded a new Nordic IoT Hub HI2OT.   HI2OT promotes Nordic collaboration...
  • FCAI is a research centre launched by Aalto University and University of Helsinki, which gathers together the best artificial intelligence researchers in Finland. The City of Espoo has become a member of the Finnish Center for Artificial Intelligence FCAI.  Espoo sees that developing artificial intelligence together will be beneficial for the whole innovation community from enterprises to R&D organisations and the inhabitants in Espoo. FCAI's objective is...
  • The second year in a row, Tuxera's student team was selected as the winner of the Accenture Quality Award. An annual software project course in computer science at Aalto University lets students choose a project presented by partner companies – and work on it for seven months. Twenty-eight projects from companies like KONE, Finnair, F-Secure, Tuxera and many others, were proposed to the 14 student teams. By the end of the course, student groups have competed for the Accenture Quality...
  • Professor Kaski, pioneer of computational complex systems research in Finland, will continue to work as senior adviser at Aalto. Kimmo Kaski is a long-standing professor of computational science at Aalto University. His most recent research interest has been complexity in physical, economic, social and information systems. He will continue to foster his expansive academic networks and fellow positions actively, albeit now as Professor Emeritus. ‘This is not the end. This is not even the...
  • The election is a prestigious recognition of Nieminen’s scientific achievements. Academician and Distinguished Professor Emeritus Risto Nieminen has been elected as an associate of the US National Academy of Sciences (NAS). NAS members and associates carry great prestige: they have made significant contributions to science and are among the most respected researchers in the world. ‘Being an associate allows me to participate in significant and interesting forecast reports – in shaping the...
  • We are looking for a postdoctoral researcher with expertise in machine learning to work on a collaboration project between Professor Samuel Kaski’s team in Finnish Center for Artificial Intelligence FCAI at Aalto University and Janssen Pharmaceutica. The exciting research problem is to learn to infer toxicity of chemicals based on the chemical structure, and the great opportunity is that we have unique data for the learning. The...
  • The genealogy algorithm AncestryAI efficiently combines huge amounts of birth data. It would take 100 person-years for a genealogist to map and find all the parents for five million people – with a rate of one person per minute. The AncestryAI algorithm can do the same work in an hour using 50 parallel computers and with a success rate of 65 per cent. The algorithm can also measure the level of uncertainty for each connection so that unreliable results can be ignored. Genealogists and...
  • Bipartisan users, who try to bridge the echo chambers, pay a price for their work: they become less central in their network, lose connections to their communities and receive less endorsements from others. A recent study of more than 2.7 billion tweets between 2009 and 2016 confirms that Twitter users are exposed mainly to political opinions that agree with their own. It is the largest study to characterise echo chambers by both the content in them and the networks they comprise. The findings...

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