Nowadays, the object's volume is essential for monitoring any scene. Technological
equipment is evolving, and mobile devices and other devices embed high-resolution …

Embedded image processing applications like multicamera-based object detection or
semantic segmentation are often based on Convolutional Neural Networks (CNNs) to …

Applications such as autonomous driving or assistive robotics heavily rely on the usage of
Deep Neural Networks. In particular, Convolutional Neural Networks (CNNs) provide …

Recently, the field of assistive robotics has drawn much attention in the health care sector. In
combination with modern machine learning-supported person recognition systems, they can …

The goal of modern high performance computing platforms is to combine low power
consumption and high throughput. Within the European Processor Initiative (EPI), such an …

Machine learning and deep learning, in particular, have become increasingly important in
engineering. The technology has been around for several decades already. Whereas data …