Highlights 2018-05-22T15:30:57+00:00

HIIT Researcher: Please contact the coordinator to have your highlight published here

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 [...]

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 [...]

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 [...]

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.