Nettsider med emneord «machine learning»

The Rokoko SmartSuit II is capable of full-body motion tracking, which makes it possible to control an avatar in a virtual world or a robot in a remote location just by moving your body.

The trouble is that we must transmit this motion data over the network, which costs time. This thesis is about hiding this delay by predicting your body motion.

Neural network architectures currently used for histopathology were developed for natural images (not medical ones). Some of these architectures have been shown to have inductive biases for natural images, i.e., the neural network's architecture has some information about the natural images. These biases can be very helpful for processing natural images. This project aims to find architectures with an inductive bias for histopathological images. We will do it in an automated way (using neural architecture search) instead of trying to build an architecture manually.

Oppgaven utføres i samarbeid med Forsvarets forskningsinstitutt (FFI) på Kjeller. 

Climate changes pose "the biggest health threat facing humanity". Let us help solve it as informatics students and scholars.

Ontologies are developed for representing requirements and specifications that can help domain experts and engineers do various tasks in the real world. Usually, as the ontologies are quite large, it takes a long time for human users to understand the ontologies and it is also quite difficult for machines to do reasoning on such large ontologies. The goal is that we can explore different machine-learning techniques to extract relevant parts of the ontology and reduce reasoning time. 

An important priority for LTG in recent years has been to create NLP resources for the Norwegian language, both in terms of modeling and datasets. This page provides an overview of our existing and ongoing projects to support Norwegian NLP.