Fraunhofer Institute for Cognitive Systems

Recent papers from Fraunhofer Institute for Cognitive Systems

1. Is data-efficient learning feasible with quantum models?Quantum Machine Intelligence · 2026
2. Conditional deep generative modeling of blood-based infrared spectra enables controlled in-silico phenotyping studiesnpj Digital Medicine · 2026
3. Bio‐Inspired Object Retrieval via Proximity‐Guided Adaptive Thigmotactic Exploration and Neuromorphic RecognitionAdvanced Robotics Research · 2026
4. Imagining Trajectories for Anomaly Detection in Reinforcement Learning from ImagesMachine Learning · 2026
5. Safety design guidelines for clinician–AI interaction in computer-aided diagnosis systems using system-theoretic framework with explainability validationScientific Reports · 2026
6. Ethical Considerations Toward Harmonizing Human and Machine Agency in Embodied NeurotechnologiesNeuroethics · 2026
7. A dexterous soft hand exoskeleton restores intentional grasping in individuals with severe hand impairmentNature Machine Intelligence · 2026
8. Audiobook familiarization is associated with theta-gamma power modulation and increased alpha-band phase synchronizationNeuroImage · 2026
9. Demonstrating Data-to-Knowledge Pipelines for Connecting Production Sites in the World Wide LabMachine Learning and Knowledge Extraction · 2026
10. Demonstrating Data-to-Knowledge Pipelines for Connecting Production Sites in the World Wide LabMachine Learning and Knowledge Extraction · 2026
11. Impact of Pollution on Mental Health: A Systematic Review of Associations, Methodological Challenges, and Future DirectionsHealth Science Reports · 2026
12. Towards a Unified Uncertainty-Calculus for Environment Perception2025
13. Artificial vibrotactile feedback elicits neural correlates of sense of agencyJournal of NeuroEngineering and Rehabilitation · 2026
14. A Dexterous Soft Hand Exoskeleton Restores Intentional Grasping for Individuals with Severe Hand Impairment2025
15. Too Close for Comfort? Investigating Virtual Professor Distance and Student Learning in VR2025
16. Scalability challenges in variational quantum optimization under stochastic noisePhysical review. A/Physical review, A · 2025
17. Comprehensive Analysis of Neural Network Inference on Embedded Systems: Response Time, Calibration, and Model OptimisationSensors · 2025
18. Comparing Performance of Variational Quantum Algorithm Simulations on HPC Systems2025
19. Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning2025
20. Application-Driven Benchmarking of the Traveling Salesperson Problem: a Quantum Hardware Deep-Dive2025