2015.02.25 | Public/media, Staff, Awards, Eliteforskning, Featured
On the basis of his ground-breaking research, which is of inestimable importance for the understanding of modern complex programming languages, Professor Lars Birkedal receives the EliteForsk Award 2015 of DKK 1.2 million from the Danish Ministry of Higher Education and Science.
2015.02.18 | Featured, Public/media, Staff
The Danish Council for Independent Research (DFF) has just awarded a postdoctoral grant under the Natural Sciences program to Kasper Svendsen and another under the Technology and Production Sciences program to Thomas Dinsdale-Young.
2015.02.18 | Staff, Featured
The street number for the entrance to the Nygaard building from Helsingforsgade is from now on number 12 - instead of number 14 (earlier) which is the number for the entrance to the Wiener and Turing building.
2015.02.18 | Public/media, Staff, Featured
While processors becomes an ever greater force, the human world is almost reinvented in line with what is technologically possible. Today, we incorporate different layers in it with smartphones and other technologies. At some point in the future we don’t need to bring the gadgets. Then the world will be adapted to us.
2015.02.05 | Featured, Research news, Staff, Public/media
In January 2014, researchers from the “Cryptography and Security” group of the Department of Computer Science of Aarhus University contacted Nets DanID A/S to receive a database of the public keys of all Danish NemID users, with the goal of checking whether NemID public keys were vulnerable to attacks.
2015.02.05 | Featured, Public/media, Staff
The Hyperkinetic Kayak is the result of a collaboration between the artist Jette Gejl, Peter Møller-Nielsen from Department of Computer Science and Centre for Advanced Visualization and Interaction (CAVI). It is included in an exhibition in Scandinavia House in New York under the common title "Voyage to the Virtual". The exhibition is open from…
2015.02.05 | Public/media, Featured, Staff
Researchers have just shown that it is relatively simple to reidentify people based on a few details about the use of credit cards when the data sets are anonymised. The work has just been published in the renowned journal Science.
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