Over the past 10 years, Rasmus Hvingelby has worked with Artificial Intelligence and Machine Learning. At the Alexandra Institute in Denmark and Fraunhofer in Germany, he has applied machine learning to everything from understanding the Danish language to quality assurance on production lines through image analysis. A common thread in Rasmus’s research has been machine learning with few data examples, which has resulted in several peer-reviewed publications in the field.
In 2019, Rasmus co-founded Silvi, where he has since served as CTO and head of product development. Silvi is a platform that helps researchers quickly gain an overview of scientific literature using artificial intelligence.
Rasmus’s knowledge from the research world, combined with a strong understanding of what is needed in industry and startups, gives him valuable insight into both the possibilities and limitations of artificial intelligence and machine learning.
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