by Frederik Wouters | Nov 13, 2020 | Digital innovation, Industry & chemistry, Perspectives
Under the influence of economic pressures and ecological politics, and having fallen behind other sectors in digitization, the ports and logistics sector is starting down the road of innovative change. A rapid evolving market The Beacon Smart Ports & Logistics...
by Wouter Hendrickx | Oct 13, 2020 | Life Sciences, Perspectives, Product innovation
In our research project we’ll develop a robotic platform for spinal surgery which uses algorithms developed by Deep Learning (AI). The developed algorithms will transform high resolution preoperative 3D images, like CT scans and MRIs, to high resolution images of the...
by David Pas | Oct 7, 2020 | FMCG & consumer, Perspectives, Strategic innovation
Innovation is rarely just about a new technology. People don’t buy technology anymore, they buy a meaning, a purpose. Furthermore, we notice a shift from tangible to virtual products and reverse: as more services are digital, real-world experience becomes more...
by Niels Verleysen | Sep 8, 2020 | Digital innovation, Industry & chemistry, Perspectives
Based on IoT, Big Data and Artificial Intelligence it’s possible to create a heat map of Volatile Organic Compounds, CO and particles matter pollution inside a chemical production plant. An agile system is needed to predict non-safe zones for i.e. pregnant and nursing...
by Guus Colman | Aug 28, 2020 | Digital innovation, Industry & chemistry, Perspectives
The world is evolving rapidly. It seemed only yesterday that the Internet became available at home and the smartphone entered our everyday lives. On the horizon we see a completely connected world, aiming to make our lives more autonomous. This vision consists of...
by Niels Verleysen | Aug 12, 2020 | Perspectives, Product innovation
What’s the difference between Machine Learning & Deep Learning? And when to choose one or the other? More classical Machine Learning techniques often require feature engineering. This means that someone uses their knowledge to list relevant features in the data....
