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What could possibly go wrong with virtual reality?

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. ....

Andreea Anamaria Muresan , University Of Copenhagen Department Computer Science , University Of Copenhagen , Phd Fellow Andreea Anamaria Muresan , Computer Science , Anamaria Muresan , Technology Engineering Computer Science , Computer Science , Multimedia Networking Interface Design , Theory Design , பல்கலைக்கழகம் ஆஃப் கோபெந்ஹேகந் துறை கணினி அறிவியல் , பல்கலைக்கழகம் ஆஃப் கோபெந்ஹேகந் , கணினி அறிவியல் , அனுமாரை முரெசான் , தொழில்நுட்பம் பொறியியல் கணினி அறிவியல் ,

Award-winning professor writes forgotten women into tech-history

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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.
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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. ....

United States , Pernille Bjoern , Michael Skov Jensen , Jeff Bezos , Mette Kowalski , Emilie Thejll Madsen , University Of Copenhagen Department Computer Science , Department Of Computer , Department Of Computer Science , University Of Copenhagen , University Of Washington , Computer Supported Cooperative Work , Nazi Germany , Enigma Code , World War , Mark Zuckerberg , Qatari Women , Computer Science Only , Computer Science , Skov Jensen , Arts Culture , Researchers Scientists Awards , Technology Engineering Computer Science , Software Engineering , ஒன்றுபட்டது மாநிலங்களில் , மெத்தே கோவல்ஸ்கி ,

Danish computer scientist has developed a superb algorithm for findin

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. ....

Aaron Bernstein , Maximillian Probst Gutenberg , Christian Wulff Nilsen , University Of Copenhagen Department Computer Science , University Of Copenhagen , Rutgers University , Department Of Computer Science Ph , Computer Science , Associate Professor , Optimal Decremental , Dense Weighted , Computer Science Phd , Decremental Single Source Shortest Path , Mathematics Statistics , Algorithms Models , Calculations Problem Solving , Technology Engineering Computer Science , Software Engineering , Theory Design , Research Development , Robotry Artificial Intelligence , ஆரோன் பெர்ன்ஸ்டீன் , மாக்ஸிமிலியன் ப்ரோப்ஸ்த் குட்டன்பெர்க் , கிறிஸ்துவர் வுல்ஃப் நில்சன் , பல்கலைக்கழகம் ஆஃப் கோபெந்ஹேகந் துறை கணினி அறிவியல் , பல்கலைக்கழகம் ஆஃப் கோபெந்ஹேகந் ,

Researchers Use AI to Assess Whether a Person Will Die from COVID-19

Researchers Use AI to Assess Whether a Person Will Die from COVID-19
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University Of Copenhagen Department Computer Science , Computer Science , Capital Region , Region Zealand , பல்கலைக்கழகம் ஆஃப் கோபெந்ஹேகந் துறை கணினி அறிவியல் , கணினி அறிவியல் , மூலதனம் பகுதி , பகுதி ஜீலாந்து ,

Researchers Use AI to Assess Whether a Person Will Die from COVID-19

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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. ....

University Of Copenhagen Department Computer Science , Computer Science , Capital Region , Region Zealand , பல்கலைக்கழகம் ஆஃப் கோபெந்ஹேகந் துறை கணினி அறிவியல் , கணினி அறிவியல் , மூலதனம் பகுதி , பகுதி ஜீலாந்து ,