Multistatic high-resolution sensing at THz

Multistatic high-resolution sensing at THz

PI: Mats Pettersson (BTH). Collaborators: Hans Hellsten (HH), Fredrik Gustafsson (LiU) Multistatic high-resolution sensing at THz frequencies is the goal of this project, with applications in many areas, such as industry, logistics, health care, and surveillance....
Relation Extraction with Deep Neural Language Models

Relation Extraction with Deep Neural Language Models

PI: Marco Kuhlmann (LiU). Collaborators: Pierre Nugues (LU); iMatrics AB (Linköping). The field of natural language processing (NLP) has seen major progress during the last few years with the development of deep neural language models, which learn tasks such as...
Embodied Visual Active Learning

Embodied Visual Active Learning

PI: Kalle Åström (LU). Co-PI: Cristian Sminchisescu (LU) We focus on the task of embodied visual active learning, where an agent is set to explore a 3d environment with the goal of acquiring visual scene understanding by actively selecting views for which to request...
Usable digital twins in healthcare

Usable digital twins in healthcare

PI: Gunnar Cedersund (LiU) In 2019, the Swedish translation for “Digital twins” entered the public Swedish dictionary, SAOL. Digital twins are computer models, which can describe, e.g., the specific physiology in a patient. Nevertheless, all others’ digital twins only...