algorithmsThore HusfeldtComputer Science Department
Explainability and transparency are important values in Professor Thore Husfeldt’s research in algorithms. We must keep education and enlightenment in mind as cornerstones of our society, the Professor argues.
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Security in digital democracies, algorithms and the human aspect of software engineering are among the new professors’ research areas.
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Like people, algorithms have to learn - and they learn from data. However, often data is skewed, which can lead to bias and discrimination against certain groups, says Barbara Plank, researcher in Natural Language Processing at ITU.
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Algorithms can help us identify false stories, but letting technology be the judge of what is true and false is not without its problems, says Leon Derczynski, a researcher at ITU specializing in automatic detection of fake news and misinformation.
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Barbara Plank, Associate Professor from ITU’s Natural Language Processing (NLP) research group, has received a prestigious Amazon Research Award (ARA) for her work on improving automatic language understanding, for instance in digital assistants.
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ITU’s Thore Husfeldt interviews Stanford professor Tim Roughgarden about algorithmic game theory in the cross-section between computer science and economics.
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Despite big advances in machine learning, making computers understand language is still a big challenge. Daniel Varab and his two classmates from Software Development trained a computer program to detect contradictions in texts – a technology that might eventually help us keep track of statements made by politicians and contradictions in the law.
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Computers have already crushed humans at chess, Go and poker. Now, researchers at the IT University of Copenhagen are training an algorithm to beat the best human players in the sci-fi computer game StarCraft. If the project succeeds, it will be another quantum leap forward for artificial intelligence (AI).
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Vincent Hendricks talks about information, knowledge and truth in the internet age.
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In his thesis project, ITU student Christopher Bjerre developed a software tool for use in addiction treatment. Using a combination of machine learning algorithms, the tool can predict relapse with great accuracy and thus help rehabilitation staff to prevent it from happening.
algorithmsCarsten SchürmannComputer Science DepartmentResearchdemocracydigitizatione-governmentinnovationIT securitymanagement
Carsten Schürmann, Associate Professor at the IT University of Copenhagen, hacked an American WINVote machine at DEF CON, one of the world's largest hacker conventions. The hack has now been receiving a lot attention in some of the worlds most influential media.
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The value of star footballers is a subject intensely debated among football fans, but big data might become the go-to method for determining the price tags of the stars. Researchers from the IT University in Copenhagen and University of Liechtenstein have developed an algorithm that calculates the value of players based on vast amounts of data.
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In this podcast, Thore Husfeldt discusses AI and ethics with Australian AI researcher Toby Walsh.
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Two ITU researchers are among the driving forces in the new research center BARC, which aims to attract talent from all over the world and create breakthroughs in algorithm research. Developing efficient algorithms for handling large amounts of data will be one of the key areas of research.
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