From the 1 of 7 papers with an AI index.
- East China Normal UniversityCN3 papers
- Fudan UniversityCN2 papers
- Shanghai Jiao Tong UniversityCN2 papers
- Aktobe Regional State University named after K.ZhubanovKZ1 paper
- Al-Farabi Kazakh National UniversityKZ1 paper
- Almaty University of Power Engineering and TelecommunicationsKZ1 paper
- American Museum of Natural HistoryUS1 paper
- Assam UniversityIN1 paper
- Beijing Institute of TechnologyCN1 paper
- Chinese Academy of SciencesCN1 paper
- Columbia UniversityUS1 paper
- Cotton UniversityIN1 paper
7 papers
RemiAssist: A Therapist-Supporting System for Photo-Based Reminiscence Therapy in Dementia Care
Shuchang Xu, Minglong Tang, Junyan Mao +7
Despite growing interest in applying AI to photo-based reminiscence therapy (PRT) for people with dementia (PwD), existing systems primarily focus on PwD-AI interaction and often o…
Discovery of an Unbound Flyby Companion of UBC 63: In the Immediate Aftermath of a Close Encounter
Samrat Biswas, Biman J Medhi, Sergio Messina +8
We re-investigate the open cluster UBC 63 using the Gaia DR3 data and show that, rather than being a single cluster as previously classified, it is a compelling candidate for a dou…
Quasinormal Modes of Extremal Reissner-Nordstrom Black Holes via Seiberg-Witten Quantization
Yi-Rong Wang, Peng Yang, Kilar Zhang
The paper derives exact quasinormal mode spectra for scalar (including charged and massive) perturbations of extremal Reissner‑Nordström black holes by mapping the radial wave equa…
DEFINED: A Data-Efficient Computational Framework for Fine-Grained Creativity Assessment in Debate Scenarios
Tongzhou Yu, Mingjia Li, Hong Qian +6
Human creativity has emerged as a critical competency in the era of large language models. Assessing creativity in complex, open-ended environments is a grand challenge in data min…
From Physics to Representation: Audio Learning with Synthetic Pre-training via Procedural Generation
Fengrui Liu, Ruiyang Huang, Qijian Zheng +2
Self-supervised learning advances audio representation for multimedia analysis. However, prevailing data-centric approaches rely on massive real-world corpora, increasing training…
Evolution of fractality in centrally concentrated young clusters
Almat Akhmetali, Adilkhan Assilkhan, Mordecai-Mark Mac Low +6
We investigate the structural evolution of young star clusters forming within centrally concentrated molecular clouds. Our simulations use the Torch framework, which integrates the…