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FIMM-HIIT Doctoral student call 2018
Modern molecular medicine requires state-of-the-art methodologies in data science, including algorithms and machine learning methods, and the analysis, visualization and modelling of large data sets.
As part of an annual international joint call of the Nordic EMBL Partnership for Molecular Medicine [...]
The first AI Day attracts 600 participants
The Artificial Intelligence Day held on 13 December 2017 in Dipoli, brought together 600 artificial intelligence experts and enthusiasts from universities, research organizations, companies and the public sector. The organiser of the event, the new Finnish Center for Artificial Intelligence FCAI established by Aalto University and the University of Helsinki, wishes to make the AI Day an annual [...]
New AI method keeps data private
New machine learning method developed by researchers at the University of Helsinki, Aalto University and Waseda University of Tokyo can use for example data on cell phones while guaranteeing data subject privacy.
Modern AI is based on machine learning which creates models by learning from data. Data used in many applications such as health and human behaviour [...]
Appointment of an additional vice director for HIIT
On 29.11.2017 the HIIT Board appointed Patrik Floréen as an additional vice director of HIIT for the period of 1.1.2018-31.7.2020 . So starting next year, the vice directors of HIIT will be Juho Rousu from Aalto and Patrik Floréen from UH.
Helsinki ICT network: Positions for Exceptional Doctoral Students (deadline January 31, 2018)
The Helsinki Doctoral Education Network in Information and Communications Technology (HICT) is a joint initiative by Aalto University and the University of Helsinki, the two leading universities within this area in Finland. The network involves at present over 60 professors and over 200 doctoral students, and the participating units graduate [...]
Kick-off event of HiData – Helsinki Centre for Data Science
The kick-off event will present plans for HiData as well as a range of examples of data science within the participating universities. It is also a great opportunity to network with other academics with interest in data science. Anyone interested in data science research or education is welcome to join the HiData network! Also join the open Facebook group for HiData. [...]
AI Day 13.12.2017: registration open – Aalto University and the University of Helsinki join forces in artificial intelligence research
On 13 December, the Finnish Center for Artificial Intelligence (FCAI) will host the Artificial Intelligence Day at Dipoli in Espoo, which will allow researchers, companies and representatives of the public administration to meet up. Come join us in discussing artificial intelligence [...]
Revolution in bacterial evolution
A research team led by Prof. Jukka Corander and Dr. Nicholas Croucher has made a pioneering discovery about how bacterial populations evolve, which changes dramatically our view into the role of accessory genes in defining the fitness of bacteria. For further details see the news piece from Norwegian State Television and Wellcome Trust Sanger Institute.
Studying the intersection of society and technology: Rajapinta unconference call for content
The first annual Rajapinta unconference will be organized in Dipoli, Otakaari 24. The event is open to all interested in the study of digital society or digital methods for social sciences. Potential themes include using machine learning for social sciences, the design of digital systems used by public government, sociology motivated studies of software and developers and any other cross-disciplinary themes [...]
Machine learning guides drug-target mapping efforts
Researchers from FIMM, HIIT and University of Turku have demonstrated that carefully optimized machine learning models offer complementary and cost-effective approach to experimental determination of drug-target interactions, allowing for prioritization of the most potent targets for further in vitro or ex vivo target validation in the laboratory.
Over the recent years, increasing efforts have been [...]
Distinguished Paper Award at CP 2017
The paper "Reduced Cost Fixing in MaxSAT", authored by Antti Hyttinen, Matti Järvisalo, and Paul Saikko of the HIIT / University of Helsinki Constraint Reasoning and Optimization group in collaboration with Fahiem Bacchus (University of Toronto, Canada), has won the Distinguished Paper Award at CP 2017, 23rd International Conference on Principles and Practice of Constraint Programming, taking place August 28-31, 2017 in Melbourne, Australia.
The work describes a way of using linear programming techniques to speeding up state-of-the-art solvers for the maximum satisfiability Boolean optimization paradigm.
The CP conference series is a top international venue for research on constraint processing and optimization world-wide, and is ranked on the highest level JUFO-2 for conferences of the Finnish publication venue ranking Julkaisufoorumi.
50 Years of Computer Science in Helsinki Jubilee Seminar
This year the Department of Computer Science of the University of Helsinki celebrates its 50th Anniversary. The festivities include a Jubilee Seminar on Thursday 31 August 2017, at 1-6 p.m., in the Great Hall of the University Main Building (Unioninkatu 34).
The event is free of charge and open to everyone. Registration is required for logistic reasons. [...]