
NeQst - Quantum Computing Applied to Industrial Optimization Problems
NeQst aims to research how near-term quantum computers can solve challenging optimization problems in business, such as hydropower scheduling and financial fraud detection.
NeQst aims to research how near-term quantum computers can solve challenging optimization problems in business, such as hydropower scheduling and financial fraud detection.
It is still incredibly difficult to achieve safe and reliable full autonomy in real-world outdoor environments (field robots). Furthermore, robot manipulation in uncontrolled environments such as agricultural settings is a slow and painstaking...
The goal of MAXSENSE is to create a portable AI-based, marker-free 3D modelling system to generate personalized musculoskeletal models (or "avatars"). Combining our new models with data from sensors on & around the user, we get high-value data that...
In CaReSceen, we will develop a clinical decision support system that would ensure that cancer patients in need of rehabilitation are offered adequate rehabilitation services at the right time at the point of care.
The project is focused on the development of systems and methods which will allow spectrum management authorities and other stakeholders to detect, localize, and apprehend emitters of illegal radio frequency interference signals quickly and...
The project will develop and implement a digitized learning process, and decision support system that provides more predictable production time, reduced waste, predictable cured sausage quality, increased employee involvement and better overall...
Wearable blood pressure (BP) monitoring allowing continuous measurements without interfering with daily life activities.
With its elegant curved design, large accessible viewing area and high mobility, the FluidFlower is equally suited for developing the scientific understanding of multiphase flow in complex geological settings, as it is for demonstrating carbon...
Obesity and fatty liver disease are increasing in the population. There are no cost-effective and accurate ways to measure the amount of fat in the liver. In this project, we develop and test an ultrasound method to estimate liver fat.