From the 2 of 5 papers with an AI index.
- Technical University of MunichDE2 papers
- BMW of North America (United States)US1 paper
- Carnegie Mellon UniversityUS1 paper
- Finnish Transport AgencyFI1 paper
- Friedrich-Alexander-Universität Erlangen-NürnbergDE1 paper
- Gold Skin Care CenterUS1 paper
- Quantum Chemistry Research InstituteJP1 paper
- University of BonnDE1 paper
- University of British ColumbiaCA1 paper
- University of British Columbia HospitalCA1 paper
5 papers
Beyond Overt Reactions: Analyzing Subtle User Emotional Response to Unexpected In-Vehicle System Behavior
Huy Quyen Ngo, Suresh Kumaar Jayaraman, Brian Mok +4
Modern vehicles, with advanced AI voice and autonomous navigation features, extend beyond traditional driving but, like any autonomous system, can potentially make mistakes or beha…
Safeguards for Speech2Speech LLM-Assistants: A Case Study in Automotive Applications
Gregor Endler, Sebastian Kraus, Lukas Stappen
Recent advances have introduced speech-to-speech (S2S) conversational assistants capable of producing natural-sounding interactions, including non-verbal cues like tonality and moo…
Tree Tensor Networks Methods for Efficient Calculation of Molecular Vibrational Spectra
Shuo Sun, Richard M. Milbradt, Stefan Knecht +2
The paper introduces Tree Tensor Networks for calculating molecular vibrational spectra, testing various tree architectures and eigensolvers on high‑dimensional oscillator models a…
HiFi-LLP: High-Fidelity, Low-Cost Latency Predictors with Confidence for Robust HW-NAS
Shambhavi Balamuthu Sampath, Behzad Shomali, Nael Fasfous +7
The paper introduces HiFi-LLP, a graph‑attention‑network based latency predictor that provides confidence estimates, allowing a hybrid hardware‑aware neural architecture search tha…
Scaling Quantum Machine Learning without Tricks: Full-Resolution and Diverse Image Generation
Jonas Jäger, Florian J. Kiwit, Carlos A. RiofrÃo
Quantum generative modeling is a rapidly evolving discipline at the intersection of quantum computing and machine learning. Contemporary quantum machine learning is generally limit…