We present a novel architecture for an AI system that allows a priori knowledge to combine with deep learning. In traditional neural networks, all available data is pooled at the input layer. Our alternative neural network is constructed so that partial representations (invariants) are learned in the …

Industrial robot manipulators are widely used for repetitive applications that require high precision, like pick-and-place. In many cases, the movements of industrial robot manipulators are hard-coded or manually defined, and need to be adjusted if the objects being manipulated change position. To increase …

Masonry structures represent the highest proportion of building stock worldwide. Currently, the structural condition of such structures is predominantly manually inspected which is a laborious, costly and subjective process. With developments in computer vision, there is an opportunity to use digital …

An illustrative non-technical review was published on Towards Data Science regarding our recent Journal paper “Automatic crack classification and segmentation on masonry surfaces using convolutional neural networks and transfer learning”. While new technologies have changed almost every aspect of our …

In the context of education, ‘presence’—a state of alert awareness, receptivity and connectedness to what is happening in class—is related to depth of insight into the situation, and to more opportunities for action⁠. Presence is mainly conceptualized in philosophical and theoretical terms and idealistic …

The Proactive Experience Center is a practice within Atos, that focuses on proactive workplace management to measure the employee experience of customers. They do this for the following reasons: • Improving the digital workplace; • Creating digital inclusion; • Caring for employee well-being; • Enhancing …

Not KnowingIn light of the crisis which is currently in the making, we are all confronted with uncertainty. Unexpectedly, we are face to face with a reality that previously seemed so easy to escape via plans, calculations and predictions. As we rediscover our situations and at times drown in the deep …

Cone beam CT scanners use much less radiation than to normal CT scans. However, compared to normal CT scans the images are noisy, showing several artifacts. The UNet Convolutional Neural Network may provide a way to reconstruct the a CT image from cone beam scans.

Effects of climate change in cities are evident and are expected to increase in the future, demanding adaptation. In order to share knowledge, raise awareness, and build capacity on climate adaptation, the first concept of a “ClimateCafé” has been utilized since 2012 in 25 events all over the world. …

In the operational systems of the Dutch Public Prosecution Service, data about criminal cases are registered. This information is used to generate crime statistics or other management information as input for policymaking. A key element for these statistics is the crime type of a case, which is normally …