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Berlin: While fans of "Game of Thrones" are eagerly awaiting to know who will finally sit on the Iron Throne, researchers have developed artificial intelligence algorithms ( IA) to predict the survival chances of each of the characters in the film. The last season of the HBO hit show.
New algorithms developed at the Technical University of Munich (TUM) in Germany predict that Daenerys Targaryen has the best chance (99%) to survive in the heartbreaking world of Game of Thrones.
According to researchers, the popular Tyrion Lannister also has a promising survival rate of 97%.
An app searches the web for data on the series, then badyzes the numbers with the help of algorithms to predict which character has the best chance of sitting on the coveted iron throne .
In 2016 and just before the release of Season 6, students attending a computer seminar held at TUM have created an algorithm that accurately predicts the resurrection of Jon Snow.
S Survival rates are predicted by means of longevity badysis – a technique similar to scientific studies that examine the effects of treatments and complications on cancer patients.
Savvy GoT fans can get a thorough badysis of the main reasons for the predictions of the algorithm. [19659002] For example, being born in Winterfell at Stark House and only being married seems to increase the chances that Sansa Stark will be eliminated in the next season; his probability of death is 73%.
Fans interested in exploring the differences between the plot of the TV show and the story told by the books underlying the TV series can find a side-by-side comparison of the details of the characters, including age, status (dead or alive) and longevity prospects.
The work on survival algorithm algorithm is part of a JavaScript seminar held every semester at TUM's computer department.
During the course, students learn how to design, develop and deploy intelligent computer systems.
PTI
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