In the context of the ongoing COVID-19 pandemic, face masks offer an effective contribution to healthcare. Wearing and positioning the mask correctly is essential for its function. Convolutional neural networks (CNNs) offer an excellent solution for visual face recognition and... [more]

In a joint team between BMW and TUM, we investigate the robustness of Convolutional Neural Network (CNN) deployment on embedded systems, particularly the robustness against adversarial attacks in automotive application scenarios. In the paper titled "BreakingBED - Breaking Binary... [more]

For autonomous grasping by a prosthetic hand, a binarized neural network on FPGA has been investigated, focusing on the trade-off between application quality, FPGA resources, and power consumption. Results have been accepted for publication at the prestigious International... [more]

In ihrer Mitgliederversammlung im Herbst 2020 wurde Prof. Herkersdorf zu einem neuen Mitglied der Deutschen Akademie der Technikwissenschaften (acatech) gewählt. Die acatech Mitglieder beraten Politik und Gesellschaft in Fragen der Technologiepolitik sowie der... [more]

The paper titled "Sensor Fusion Neural Networks for Gesture Recognition on Low-Power Edge Devices" authored by Gabor Balazs, Mateusz Chmurski, Walter Stechele, and Mariusz Zubert has been accepted for presentation at the International Conference on Agents and Artificial... [more]

Gabor Balazs received the best paper award for presenting his work at the IEEE International Conference on Machine Learning and Applications (ICMLA). His paper titled "Neural Architecture Search for Automotive Grid Fusion Networks Under Embedded Hardware Constraints" authored by... [more]

Our paper "HyVE: A Hybrid Voting-based Eviction Policy for Caches" was awarded the Best Paper Award at NORCAS 2020. The paper is authored by Akshay Srivatsa, Sebastian Nagel, Nael Fasfous, Nguyen Anh Vu Doan, Thomas Wild, and Andreas Herkersdorf. It proposes a novel cache eviction... [more]