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.

  • HIIT scientists Michael Gutmann and Corander published a machine learning based ABC inference approach in the Journal of Machine Learning Research. Their method (BOLFI) is based on Bayesian optimization with Gaussian processes and is generally applicable to simulator models with intractable likelihoods. Without sacrificing accuracy, BOLFI speeds up posterior computation by 3-4 orders of magnitude compared with the state-of-the-art sequential Monte Carlo algorithms. It is expected to become a...
  • 10th International Workshop on Machine Learning in Systems Biology September 3-4 2016, World Forum, The Hague The tenth edition of MLSB was organized as a two-day satellite meeting before ECCB2016, the European Conference on Computational Biology (September 5-7, 2016) by Dick de Ridder and Aalt-Jan van Dijk (Wageningen University, The Netherlands) and Juho Rousu and Harri Lähdesmäki (Aalto University, Finland) at the...
  • A HIIT-wide team led by professor Jukka Corander included several scientists from both UH and Aalto with a joint mission to create the most advanced and computationally best scalable method for genome-wide association (GWAS) studies in bacteria. The team had a close collaboration with the Pathogen Genomics Group at the Wellcome Trust Sanger Institute where GWAS is an important step towards unraveling the secrets behind evolution and success of numerous major human pathogens from large-scale...
  • Aalto University and University of Helsinki, the two leading universities in Finland within computer science and information technology, are looking for excellent researchers in several areas of ICT. Positions are available in the following areas: HIIT Research Programme on Computational Inference, Professors Samuel Kaski, Jukka Corander, Petri Myllymäki, Antti Oulasvirta, Matti Pirinen, Aki Vehtari HIIT Research Programme on Foundations of Computational Health, Professors Juho...
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  • The aim is to advance research and foster industrial collaborations on the Internet of Things (IoT). Aalto University Department of Computer Science, one of the leading research units in Finnish ICT, has become the first academic member of the consortium in Northern Europe. The OpenFog Consortium is a public-private nonprofit organization with the mission to drive industry and academic leadership in fog computing, with emphasis on architectural aspects and testbed deployments for IoT scenarios...
  • The research data is exceptionally large, and its analysis combines the methods of computer science and social sciences. Facebook provides many search results for racism. The goal of the consortium project by Aalto University, the University of Tampere and the University of Helsinki is to understand the new forms of knowledge generation, affective experience and public engagement concerning racism. The researchers will explore how racism is constituted, circulated and challenged in today’s...
  • On September 1 Jari Collin starts as the CTO of Sonera. He will continue research on digital business models and data sharing models in the Industry. In 2013, Collin joined Professor Heikki Saikkonen’s research group to lead the ACIO programme, which studied the impact of the digital transformation on IT leadership in organisations in Finland. Since then, he has been part-time Adjunct Professor at the Department of Computer Science, while his principal job has been in industry. ‘My part-time...
  • Best performance in the research was achieved by clinic instead of combined clinic and genetic information. Rheumatoid arthritis is a chronic inflammatory autoimmune disorder affecting millions of people worldwide. Anti-TNF treatment is a widely used treatment blocking the inflammatory cytokine, but it fails in approximately 1/3 of the patients. The objective of the wide crowdsourced study was to use algorithms in assessing the efficacy of anti-TNF treatment based on clinic and genetic data,...

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