We introduce W\" urstchen, a novel architecture for text-to-image synthesis that combines
competitive performance with unprecedented cost-effectiveness for large-scale text-to-image …

Huanglongbing (HLB) is one of the most threatening diseases for citrus production and it
has caused significant economic damage worldwide. Hence, computer-vision systems that …

In modern times, closed-loop control systems (CLCSs) play a prominent role in a wide
application range, from production machinery via automated vehicles to robots. CLCSs …

Control Systems, particularly closed-loop control systems (CLCS), are frequently used in
production machines, vehicles, and robots nowadays. CLCS are needed to actively align …

The landscape of deep learning research is moving towards innovative strategies to harness
the true potential of data. Traditionally emphasis has been on scaling model architectures …

Artificial intelligence (AI) and sustainability. Two words not commonly used in the context of
crop rotation management. However, simple AI-based expert systems supporting farms' …

Abstract Convolutional Neural Networks(CNNs) and Transformer-based self-attention
models have become the standard for medical image segmentation. This paper …

Minimal changes to neural architectures (eg changing a single hyperparameter in a key
layer), can lead to significant gains in predictive performance in Convolutional Neural …

Artificial intelligence (AI) and human-machine interaction (HMI) are two keywords that
usually do not fit embedded applications. Within the steps needed before applying AI to …

Abstract One-shot Network Pruning at Initialization (OPaI) is acknowledged as a highly cost-
effective strategy for network pruning. However, it has been observed that OPaI models tend …