Mr. Marc Roig Vilamala Profile

Marc Roig Vilamala

at Cardiff Univ

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Author

Publications (4)

Proceedings Article | 13 November 2024 Presentation + Paper

A demonstration of vector symbolic architecture as an effective integrated technology for AI at the network edge

Graham Bent, Cai Davies, Marc Roig Vilamala, Yuhua Li, Alun Preece, Gaetano Di Caterina, Alex Vicente Sola, Paul Kirkland, Gavin Pearson, Benomy Tutcher

Proceedings Volume 13206, 1320613 (2024) https://doi.org/10.1117/12.3030952

KEYWORDS: Cognitive modeling, Cameras, Artificial intelligence, Semantics, Object detection, Binary data, Decision making, Sensors, Device simulation, Video, Neurons

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Proceedings Article | 13 November 2024 Presentation + Paper

The transformative potential of vector symbolic architecture for cognitive processing at the network edge

Graham Bent, Cai Davies, Marc Roig Vilamala, Yuhua Li, Alun Preece, Alex Vicente Sola, Gaetano Di Caterina, Paul Kirkland, Benomy Tutcher, Gavin Pearson

Proceedings Volume 13206, 1320612 (2024) https://doi.org/10.1117/12.3030949

KEYWORDS: Machine learning, Artificial intelligence, Vector spaces, Semantics, Sensors, Signal processing, Decision making, Data processing

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Proceedings Article | 12 April 2021 Presentation + Paper

Coalition situational understanding via explainable neuro-symbolic reasoning and learning

Alun Preece, Dave Braines, Federico Cerutti, Jack Furby, Liam Hiley, Lance Kaplan, Mark Law, Alessandra Russo, Mani Srivastava, Marc Roig Vilamala, Tianwei Xing

Proceedings Volume 11746, 117461X (2021) https://doi.org/10.1117/12.2587850

KEYWORDS: Neural networks, Sensors, Artificial intelligence, Machine learning

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Proceedings Article | 10 May 2019 Presentation + Paper

Uncertainty-aware situational understanding

Richard Tomsett, Lance Kaplan, Federico Cerutti, Paul Sullivan, Daniel Vente, Marc Roig Vilamala, Angelika Kimmig, Alun Preece, Murat Şensoy

Proceedings Volume 11006, 110060L (2019) https://doi.org/10.1117/12.2519945

KEYWORDS: Logic, Defense and security, Artificial intelligence, Machine learning

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