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Our Previous Projects

Pioneering machine learning projects, advancing innovation and problem solving across diverse domains.

Partners

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Galleri Vis

Bringing Back a Lost Artist using AI

This project, which was exhibited at the National Gallery of Denmark, successfully leveraged artificial intelligence, particularly natural language and signal processing (NLP & MLSP), to recreate the personality of a deceased artist. The recreated personality was utilized in a question-and-answer setting, providing museum guests with a unique and interactive experience.

Kommunikerer gennem tegn

From Sign Language to Speech using AI

This project successfully reproduced an advanced Sign Language Translation method and designed an application to enable real-time communication between signers and non-signers, showcasing potential advancements in reducing language barriers for deaf and mute individuals.

Folk går

Understanding People using AI

This project develops a method based on Archetypal Analysis to model ordinal data, account for response bias, and handle noise in the dataset, showing improved performance and qualitative validation based on Schwartz's theory of basic values. The project was published as a paper at the IEEE International Workshop on Machine Learning for Signal Processing (MLSP) in 2024.

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