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 [...]

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.

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 [...]

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. [...]

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 [...]

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.

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 [...]

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 [...]

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. [...]

Unanticipated harmful effects of chemicals and drug molecules are a big problem. A significant step in predicting them computationally, based on genomic data, was taken in a study published in Nature Communications. The study was done by HIIT researchers Juuso Parkkinen and Samuel Kaski in collaboration with researchers from Karolinska Institutet, Maastricht University and Institute for [...]

HIIT, Aalto and KTH researchers have recently found an algorithmic approach to automatically improve the design of scatterplots by exploiting models and measures of human perception.

Their work has received a best paper honorable mention award at IEEE PacificVis 2017. [...]

See press release and project webpage.

Algorithms can exploit models and measures of human perception to generate scatterplot designs.

Scatterplots are widely used in various disciplines and areas beyond sciences to visually communicate relationships between two data variables. Yet, very few users realize the effect the visual design of scatterplots can have on the human perception [...]