Abstract Machine Learning (ML) is currently being exploited in numerous applications, being
one of the most effective Artificial Intelligence (AI) technologies used in diverse fields, such …

Machine Learning (ML) is currently being exploited in numerous applications being one of
the most effective Artificial Intelligence (AI) technologies, used in diverse fields, such as …

As Deep Neural Networks are increasingly being utilized in safety-critical domains,
assessing the uncertainty of the models during inference will be a crucial component in …

Convolutional Neural Networks (CNNs) show tremendous performance in many Computer
Vision (CV) tasks like image segmentation crucial to autonomous driving. However, they are …

Understanding how faulty hardware affects machine learning models is important to both
safety-critical systems and the cloud infrastructure. Since most machine learning models …

Deep Neural Network (DNN) accelerators are extensively used to improve the
computational efficiency of DNNs, but are prone to faults through Single-Event Upsets …

The ZuSE-KI-Mobil (ZuKIMo) project, a nationally funded initiative, focuses on creating an
advanced ecosystem optimized for AI-driven applications in automotive, drone, and …

ZuSE KI-mobil is a development platform for applications that use methods of" Artificial
Intelligence" to solve complex applications. The concept includes the development of a SOC …