![Cai Davies](https://profiles-cardiff.imgix.net/attachments/6084?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Mr Cai Davies
Timau a rolau for Cai Davies
Cydymaith Ymchwil
Myfyriwr ymchwil
Cyhoeddiad
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)
Cynadleddau
- 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)
Bywgraffiad
Rwy'n fyfyriwr PhD rhan-amser gyda'r Ysgol Cyfrifiadureg a Gwybodeg ac yn gydymaith ymchwil llawn amser gyda'r Sefydliad Diogelwch, Trosedd a Chudd-wybodaeth a Hyb Hartree Caerdydd. Mae fy niddordebau ymchwil yn gorwedd mewn darganfod gwybodaeth aml-foddol a rheoli gwybodaeth, gan ddefnyddio integreiddio dulliau sy'n seiliedig ar newidyddion a phensaernïaeth symbolaidd fector / cyfrifiadura hyper-ddimensiwn. Rwyf hefyd yn wirfoddolwr i'r RSPB gan ddefnyddio AI ar gyfer cadwraeth.
