![Cai Davies](https://profiles-cardiff.imgix.net/attachments/6084?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Mr Cai Davies
Teams and roles for Cai Davies
Research Associate
Research student
Publication
2024
- Bent, G. A. et al., 2024. A demonstration of vector symbolic architecture as an effective integrated technology for AI at the network edge. Presented at: Artificial Intelligence for Security and Defence Applications II Edinburgh, UK 17–19 September 2024. Published in: Bouma, H. et al., Proceedings of Artificial Intelligence for Security and Defence Applications II. Vol. 132061. SPIE. , pp.39-55. (10.1117/12.3030952)
- Davies, C. and Preece, A. 2024. Vector symbolic open source information discovery. Presented at: SPIE Defense + Commercial Sensing National Harbor, Maryland, United States 7 June 2024. Proceedings Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications VI. Vol. 13051.SPIE. (10.1117/12.3013447)
2023
- Davies, C. , Roig Vilamala, M. and Preece, A. 2023. Knowledge from uncertainty in evidential deep learning. Presented at: 2nd KDD Workshop on Uncertainty Reasoning and Quantification in Decision Making Long Beach, CA, USA 7 August 2023.
2021
- Davies, C. et al. 2021. Multi-scale user migration on Reddit. Presented at: Workshop on Cyber Social Threats at the 15th International AAAI Conference on Web and Social Media (ICWSM 2021) Virtual 07 June 2021. AAAI(10.36190/2021.13)
Conferences
- Bent, G. A. et al., 2024. A demonstration of vector symbolic architecture as an effective integrated technology for AI at the network edge. Presented at: Artificial Intelligence for Security and Defence Applications II Edinburgh, UK 17–19 September 2024. Published in: Bouma, H. et al., Proceedings of Artificial Intelligence for Security and Defence Applications II. Vol. 132061. SPIE. , pp.39-55. (10.1117/12.3030952)
- Davies, C. et al. 2021. Multi-scale user migration on Reddit. Presented at: Workshop on Cyber Social Threats at the 15th International AAAI Conference on Web and Social Media (ICWSM 2021) Virtual 07 June 2021. AAAI(10.36190/2021.13)
- Davies, C. and Preece, A. 2024. Vector symbolic open source information discovery. Presented at: SPIE Defense + Commercial Sensing National Harbor, Maryland, United States 7 June 2024. Proceedings Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications VI. Vol. 13051.SPIE. (10.1117/12.3013447)
- Davies, C. , Roig Vilamala, M. and Preece, A. 2023. Knowledge from uncertainty in evidential deep learning. Presented at: 2nd KDD Workshop on Uncertainty Reasoning and Quantification in Decision Making Long Beach, CA, USA 7 August 2023.
Biography
I am a part-time PhD student with the School of Computer Science and Informatics and full-time research associate with the Security, Crime, and Intelligence Innovation Institute and Hartree Cardiff Hub. My research interests lie in multi-modal information discovery and knowledge management, using an integration of transformer-based approaches and vector symbolic architecture/hyper-dimensional computing. I am also a volunteer for the RSPB using AI for conservation.
