5 papers
Code, Capital, and Clusters: Understanding Firm Performance in the UK AI Economy
Waqar Muhammad Ashraf, Diane Coyle, Ramit Debnath
The UK has established a distinctive position in the global AI landscape, driven by rapid firm formation and strategic investment. However, the interplay between AI specialisation,…
Neural Network-enabled Domain-consistent Robust Optimisation for Global CO Reduction Potential of Gas Power Plants
Waqar Muhammad Ashraf, Talha Ansar, Abdulelah S. Alshehri +3
We introduce a neural network-driven robust optimisation framework that integrates data-driven domain as a constraint into the nonlinear programming technique, addressing the overl…
Domain-Informed Operation Excellence of Gas Turbine System with Machine Learning
Waqar Muhammad Ashraf, Amir H. Keshavarzzadeh, Abdulelah S. Alshehri +3
The domain-consistent adoption of artificial intelligence (AI) remains low in thermal power plants due to the black-box nature of AI algorithms and low representation of domain kno…
Human Preferences for Constructive Interactions in Language Model Alignment
Yara Kyrychenko, Jon Roozenbeek, Brandon Davidson +2
As large language models (LLMs) enter the mainstream, aligning them to foster constructive dialogue rather than exacerbate societal divisions is critical. Using an individualized a…
Domain Consistent Industrial Decarbonisation of Global Coal Power Plants
Waqar Muhammad Ashraf, Vivek Dua, Ramit Debnath
Machine learning and optimisation techniques (MLOPT) hold significant potential to accelerate the decarbonisation of industrial systems by enabling data-driven operational improvem…