The objective of the Finnish Center for Artificial Intelligence is to make Finland a leading country in artificial intelligence research and its utilisation.
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.
50 Years of Computer Science in Helsinki Jubilee Seminar
The Department of Computer Science of the University of Helsinki celebrated its 50th Anniversary on August 31, 2017.
New statistical model effectively predicts the toxicity of pharmaceutical molecules
A statistical component model can be used to identify associations between chemicals and toxicological effects.
Machine learning to increase efficiency of farming
Machine learning methods will be tested in arable farming, greenhouse cultivation and plant breeding.
Academy Professor Samuel Kaski takes part in shaping Finland’s AI future
Professor Kaski is a member of the new steering group preparing a proposal for Finland’s artificial intelligence programme.
ERC Advanced grant awarded to professor Jukka Corander
HIIT group leader, professor Jukka Corander has received the ERC Advanced grant funding for 2017-2022.
Computers learn to understand humans better by modelling them
Computers are able to learn to explain the behavior of individuals by tracking their glances and movements.
Valtteri the Election Bot generates news in three languages
After several months of intensive work, the Immersive Automation team is now ready to present its first prototype, Valtteri the election bot. Just in time for the municipal elections in Finland, Valtteri writes short pieces of news, in three languages, based on the election results.
Algorithms can exploit human perception in graph design
Algorithms can now exploit models and measures of human perception to generate scatterplot designs.
AncestryAI algorithm traces your family tree back more than 300 years
The family tree algorithm automatically searches for a child's most probable parents and creates family trees based on this.
HIIT scientists make a breakthrough in genome-wide epistasis analysis
Epistatic interactions between polymorphisms in DNA are recognized as important drivers of evolution in numerous organisms.
Finland wants to be world’s number one in artificial intelligence
Samuel Kaski, Professor in Machine Learning, who participated in Prime Minister Sipilä’s panel on artificial intelligence likes the challenge.
Discovering the evolution of Burkholderia pseudomallei, a dangerous tropical soil bacterium
A HIIT research team led by professor Jukka Corander collaborated with the pathogen genomics group at Wellcome Trust Sanger Institute to unearth the evolution of Burkholderia pseudomallei, a notorius soil bacterium causing serious human infections in tropics.
ELFI: Engine for Likelihood-Free Inference facilitates more effective simulation
ELFI: Engine for Likelihood-Free Inference facilitates more effective simulation.