Due to the development of increasingly more efficient computers, we
real time. This has led to a number of everyday life applications like
smart phones. These are all examples where Artificial Intelligence (AI)
huge amounts of data.
The primary objective of this project is to improve the knowledge of AI
and Deep Learning (DL). DL is a learning process where one trains an
central part of machine learning for the development of artificial
recognition and classification of various objects from still photos,
uncertainty estimates related to image recognition and classification is an important sub-goal. We will strive to
develop solutions for (i) more reliable and accurate models; (ii) reduced uncertainty; and (iii) more interpretable
and transferable models.
The project will collaborate with the companies MultiConsult and
of the sea floor. We will study both large scale and smaller objects, for
larger plants and animals, or tiny objects such as micro-plastic
develop accurate algorithms in order to automate mapping and
contribute to faster and cheaper data collection, that in turn, will
management of the ocean floor.