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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 Presented at Bouma, H. et al. eds.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 2024Proceedings 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 Presented at Bouma, H. et al. eds.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 2024Proceedings 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.
- 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)
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.
