Conveners
Truthworthy and explainable AI
- Nicolas Bousquet (EDF)
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Dr Guido Moeser (masem research institute)9/7/26, 12:00 PMTrustworthy and Explainable AI
Recent advances in generative AI have enabled powerful language models for industrial applications. However, most solutions rely on cloud-based infrastructures or GPU-accelerated environments, which raise concerns regarding data privacy, latency, and operational cost—particularly in industrial settings dealing with sensitive internal documents.
In this study, we investigate the feasibility...
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Dr Shirley Coleman (Visiting Fellow, Newcastle University)9/7/26, 12:20 PMTrustworthy and Explainable AI
Farming is vital business. Agricultural experiments have long been carried out on crops including sugar, wheat, potatoes and grass. The second oldest grassland experiment in the UK has been in continuous action at Newcastle University’s Cockle Park farm in Northumberland since 1897.
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Over the years data on grass (hay) yield, fertiliser treatments, soil structure, grass composition and the... -
Moritz Bauchrowitz (PhD Student)9/7/26, 12:40 PMTime Series, Forecasting and Dynamic Systems
In many industrial settings, data is collected over time causing a serial dependence among the observations. Many chemometric methods, such as Principal Component Analysis (PCA), function under the assumption of time independence. This assumption is violated for most industrial data, creating challenges for both descriptive modelling as well as fault detection.
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Dynamic PCA (DPCA), which...