How do we educate those who feel an urgency to address our environmental and social challenges? What ethical concerns do art-makers face who are committed to a deep green agenda? How can we refocus education to emphasize integrative thinking and inspire hope? What role might art play in actualizing environmental …

Collaboration is key in higher education, but it’s important to choose the right partners and the right kind of partnership. As the European Universities Initiative continues into the second pilot phase, questions around its fit for various types of institutions remain. In the meantime, The Hague Network …

A 4*4 PitStop is a metaphor for the work method or format used for a pop-up professional network. The method is designed to allow work, innovation and learning to go hand in hand. This format is based on the goals and direction provided by the participating professionals themselves. With this guide, …

Buildings need to be carefully operated and maintained for optimum health, comfort, energy performance, and utility costs. The increasing use of Machine Learning combined with Big Data in the building services sector has shown the potential to bring energy efficiency and cost-effectiveness. Therefore, …

Research into the relationship between innovative physical learning environments (PLEs) and innovative psychosocial learning environments (PSLEs) indicates that it must be understood as a network of relationships between multiple psychosocial and physical aspects. Actors shape this network by attaching …

The Institute of Network Cultures and the Learning Community Critical Making are proud to present the Post-Precarity Zine, a toolbox for beginning artists. Times have changed. The art world and the creative economy are no longer the ones we used to know. The digital economy, the pandemic, and the cuts …

The goal of this study was to develop an automated monitoring system for the detection of pigs’ bodies, heads and tails. The aim in the first part of the study was to recognize individual pigs (in lying and standing positions) in groups and their body parts (head/ears, and tail) by using machine learning …

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 …

Machine Learning techonology is used to recognize piano note based on audio. Thesis descibes progress on research of ML techonlogyitself and the way how model can be develoepd and trained. Specificaly one architecture is described, that is CNN. Note recongition is based model trained on Nsynth3 database. …