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Paper presented at SAIAD Workshop, June 19, 2021

Efficiently deploying learning-based systems on embedded hardware is challenging for various reasons, two of which are considered in this paper: The model’s size and its robustness against attacks. Together with our partners from BMW and KIT, we combine adversarial training and model pruning in a…

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Farewell to Dr. Nguyen Anh Vu Doan

we had got to know Anh Vu Doan in autumn 2017 in Seoul, South Korea at Embedded Systems Week / NOCS Symposium and had very good discussions there, which finally lead to hiring him as a postdoc at LIS from Spring 2018. In the following three years, Anh Vu significantly contributed to a variety of our…

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Paper on FPGA-based COVID-19 Face-Mask Detection accepted at RAW 2021

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 classification of…

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Paper accepted at IntelliSys 2021

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 and Efficient Deep…

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Paper accepted at ICRA 2021

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 Conference on Robotics and…

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Prof. Herkersdorf in die acatech gewählt

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 Technik-Wissenschaften und kümmern sich…

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Paper accepted at ICAART 2021

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 Intelligence (ICAART 2021). …