33 citations
- Technical University of MunichDE4 papers
- Bayer (Germany)DE1 paper
- Bielefeld UniversityDE1 paper
- Brainlab (Germany)DE1 paper
- Carl Zeiss (Germany)DE1 paper
- FortissDE1 paper
- Heilbronn UniversityDE1 paper
- Intel (Germany)DE1 paper
- Max Planck Institute of Quantum OpticsDE1 paper
- RWTH Aachen UniversityDE1 paper
- Siemens (Germany)DE1 paper
- Technische Universität DarmstadtDE1 paper
7 papers
The More the Merrier: Running Multiple Neuromorphic Components On-Chip for Robotic Control
Evan Eames, Priyadarshini Kannan, Ronan Sangouard +9
It has long been realized that neuromorphic hardware offers benefits for the domain of robotics such as low energy, low latency, as well as unique methods of learning. In aiming fo…
How Much Data is Enough? Optimization of Data Collection for Artifact Detection in EEG Recordings
Lu Wang-Nöth, Philipp Heiler, Hai Huang +5
Objective. Electroencephalography (EEG) is a widely used neuroimaging technique known for its cost-effectiveness and user-friendliness. However, various artifacts, particularly bio…
Computational Capabilities and Compiler Development for Neutral Atom Quantum Processors: Connecting Tool Developers and Hardware Experts
Ludwig Schmid, David F. Locher, Manuel Rispler +4
Neutral Atom Quantum Computing (NAQC) emerges as a promising hardware platform primarily due to its long coherence times and scalability. Additionally, NAQC offers computational ad…
Did AI get more negative recently?
Dominik Beese, Begüm Altunbaş, Görkem Güzeler +1
In this paper, we classify scientific articles in the domain of natural language processing (NLP) and machine learning (ML), as core subfields of artificial intelligence (AI), into…
Tachyon model of Tsallis holographic dark energy
Yang Liu
In this paper, we consider the correspondence between the tachyon dark energy model and the Tsallis holographic dark energy scenario in an FRW universe.We demonstrate the Tsallis h…
Model Order Reduction based on Runge-Kutta Neural Network
Qinyu Zhuang, Juan Manuel Lorenzi, Hans-Joachim Bungartz +1
Model Order Reduction (MOR) methods enable the generation of real-time-capable digital twins, which can enable various novel value streams in industry. While traditional projection…