Credit: Andreea-Anamaria Muresan
YouTube is a treasure trove of virtual reality fails: users tripping, colliding into walls and smacking inanimate and animate objects. By investigating these VR Fails on YouTube, researchers at the University of Copenhagen have sought to learn more about when and why things go sideways for users and how to improve VR design and experiences so as to avoid accidents.
Millions of YouTube viewers have enjoyed hearty laughs watching others getting hurt using virtual reality - people wearing VR headsets, falling, screaming, crashing into walls and TV sets, or knocking spectators to the floor. Some of us have even been that failing someone. Now, videos of virtual reality mishaps, called VR Fails , have actually become a field of research.
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IMAGE: In 2015, Pernille Bjørn became the first woman to be appointed to a professorship at the University of Copenhagen s Department of Computer Science. view more
Credit: Photo: Emilie Thejll-Madsen
DISSEMINATION AWARD: Women sent the first computer into space and programmed some of the 1970 s most iconic computer games. Nevertheless, women are invisible in both the history and culture of computer science. Professor Pernille Bjørn wants to change all that, and in doing so, promote increased diversity in the tech world. On March 8, Professor Bjørn will receive the SCIENCE Dissemination Award for her work highlighting women in computer science.
Credit: University of Copenhagen
One of the most classic algorithmic problems deals with calculating the shortest path between two points. A more complicated variant of the problem is when the route traverses a changing network whether this be a road network or the internet. For 40 years, an algorithm has been sought to provide an optimal solution to this problem. Now, computer scientist Christian Wulff-Nilsen of the University of Copenhagen and two research colleagues have come up with a recipe.
When heading somewhere new, most of us leave it to computer algorithms to help us find the best route, whether by using a car s GPS, or public transport and map apps on their phone. Still, there are times when a proposed route doesn t quite align with reality. This is because road networks, public transportation networks and other networks aren t static. The best route can suddenly be the slowest, e.g. because a queue has formed due to roadworks or an accident.
Researchers Use AI to Assess Whether a Person Will Die from COVID-19 designnews.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from designnews.com Daily Mail and Mail on Sunday newspapers.
maestrovideo -stock.adobe.com Researchers fed a computer program with health data from 3,944 Danish COVID-19 patients to determine the mortality risk.
Researchers at the University of Copenhagen’s Department of Computer Science have used artificial intelligence to assess whether a person will die from COVID-19 or not.
Based on patient data from the Capital Region of Denmark and Region Zealand, the results of the study demonstrate that artificial intelligence can, with up to 90% certainty, determine whether an uninfected person who is not yet infected will die of COVID-19 or not if they are unfortunate enough to become infected.
Once admitted to the hospital with COVID-19, the computer can predict with 80% accuracy whether the person will need a respirator.