One-Shot Online Testing of Deep Neural Networks Based on Distribution Shift Detection Paper Title: One-Shot Online Testing of Deep Neural Networks Based on Distribution Shift Detection Link to Paper: https://arxiv.org/abs/2305.09348 Date: 16. May 2023 Paper Type: Neuromorphics, Circuits, Fault Detection Short Abstract: The paper proposes a “one-shot” online testing method for deep neural networks (NNs) implemented on memristor-based computation-in-memory (CiM) hardware. The goal is to detect hardware faults or analog variations using only a single test input (one forward pass). Instead of checking individual weights or using many test patterns, the method detects changes in the output distribution of the network.

Automatic Test Pattern Generation for Printed Neuromorphic Circuits Paper Title: Automatic Test Pattern Generation for Printed Neuromorphic Circuits Link to Paper: https://ieeexplore.ieee.org/abstract/document/11049604 Date: 01 July 2025 Paper Type: Neuromorphics, Circuits, Fault Detection Short Abstract: The paper proposes a new Automatic Test Pattern Generation (ATPG) framework for printed neuromorphic circuits (pNCs) used in printed electronics. These circuits are attractive because they are flexible, cheap, low-power, and suitable for edge AI applications, but they are also highly prone to manufacturing defects.

Meister Eckhart Vom Seelengrund Eine Auswahl aus den deutschen Predigten Meister Eckhart was a Christian German mystic from the 14th century. This book contains selected sermons by him. One major theme in almost all of these sermons is that God is beyond all predicates. Whenever you describe God: for example, by saying He is all-powerful or all-good—you do Him a disservice, because you limit Him. In fact, God is beyond all descriptions.