University of Oxford — CS Research

Computer science research from Oxford, including machine learning, formal verification, quantum computing, and AI.

Sample of the collection (25 of 1,826 items)

• Thousands of AI Authors on the Future of AI Impact In October 2023, 2,778 researchers who had published in top-tier artificial intelligence (AI) venues gave predictions on the pace,…
• Neural anticipation of virtual infection triggers an immune response University of Geneva Once contact with a pathogen has occurred, it might be too late for the immune system to react. Here, we asked whether anticipatory…
• Biodiversity Credits: An Overview of the Current State, Future Opportunities, and Potential Pitfalls University of Copenhagen ABSTRACT Biodiversity credits are an emerging vehicle for pro‐environmental financing, yet much uncertainty remains around how and when…
• Resolution in super-resolution microscopy – facts, artifacts, technological advancements and biological applications Delft University of Technology Super-resolution microscopy (SRM) has undeniable potential for scientific discovery, yet still presents many challenges that hinder its…
• The evolution of Nigerian cybercrime: Two case studies of UK-based offender networks University of Oxford Thus far, the literature on cybercrime has focussed on ‘cyber-dependent’, rather than ‘cyber-enabled’ crime. This has meant the emphasis…
• Ontology Embedding: A Survey of Methods, Applications and Resources University of Manchester Ontologies are widely used for representing domain knowledge and meta data, playing an increasingly important role in Information…
• The multi-dimensional environmental impact of global crop commodities University of Oxford Abstract Agriculture is one of the leading causes of detrimental environmental impacts, including greenhouse gas emissions, biodiversity…
• High-performance automated abstract screening with large language model ensembles University of Oxford OBJECTIVE: screening is a labor-intensive component of systematic review involving repetitive application of inclusion and exclusion…
• osl-ephys: a Python toolbox for the analysis of electrophysiology data University of Oxford We describe OHBA Software Library for the analysis of electrophysiology data (osl-ephys). This toolbox builds on top of the widely used…
• How does bike-sharing enable (or not) resilient cities, communities, and individuals? Conceptualising transport resilience from the socio-ecological and multi-level perspective University of Oxford Bicycles play a crucial role in promoting resilient urban mobility, yet current approaches often focus primarily on engineering…
• Smart farming and Artificial Intelligence (AI): How can we ensure that animal welfare is a priority? University of Oxford The increasing use of technology in livestock farming has the potential for making farming easier and more efficient and for improving…
• Intrinsic Mechanical Parameters and their Characterization in Solid‐State Lithium Batteries Nankai University Abstract The most critical failures in solid‐state batteries, including interfacial detachment, cracks, and dendrite growth are coupled…
• Entrepreneurial Resourcefulness: Theoretical Origins, Integrative Review, and Research Agenda Schott (Germany) Abstract Entrepreneurial resourcefulness is frequently invoked as an essential quality needed to succeed in the entrepreneurship…
• Unpacking the politics of Nature-based Solutions governance: Making space for transformative change University of Oxford Nature-based Solutions (NbS) have gained global attention for their transformative potential to simultaneously address biodiversity…
• E-scooter safety under scrutiny: Examining crash patterns and injuries in the UK University of Oxford INTRODUCTION: Electric-powered scooters (E-scooters), as an emerging sustainable micromobility mode, are increasingly popular. However,…
• TDS Simulator: A MATLAB App to model temperature-programmed hydrogen desorption Universidad de Granada We present TDS Simulator, a new software tool aimed at modelling thermal desorption spectroscopy (TDS) experiments. TDS is a widely used…
• OXFORD-UMAT: An efficient and versatile crystal plasticity framework University of Oxford The crystal plasticity-based finite element method is widely used, as it allows complex microstructures to be simulated and allows…
• Calibration and surrogate model-based sensitivity analysis of crystal plasticity finite element models University of Bristol Crystal plasticity models are powerful tools for predicting the deformation behaviour of polycrystalline materials accounting for…
• Process Research Methods for Studying Supply Chains and Their Management Stockholm University ABSTRACT Processes are fundamental to supply chains and their management. Yet, traditional research approaches to supply chain…
• Reducing Leakage of Single-Qubit Gates for Superconducting Quantum Processors Using Analytical Control Pulse Envelopes Eric Hyyppä et al. Improving the speed and fidelity of quantum logic gates is essential to reach quantum advantage with future quantum computers. However,…
• Effects of visual diet on colour discrimination and preference University of Sussex To what extent is perception shaped by low-level statistical regularities of our visual environments and on what time scales? We…
• Improved mineral prospectivity mapping using graph neural networks University of Indonesia • Mineral prospectivity mapping (MPM) that utilize GNN shows better performance when trained using lithology information. • GNN model…
• The political economy of digital government: How Silicon Valley firms drove conversion to data science and artificial intelligence in public management University of Oxford Until 2010, Anglosphere digital governments struggled to modernize, dependent on large-scale contract relationships with global systems…
• Prediction of stratified ground consolidation via a physics‐informed neural network utilizing short‐term excess pore water pressure monitoring data Missouri University of Science and Technology Predicting stratified ground consolidation effectively remains a challenge in geotechnical engineering, especially when it comes to…
• Machine Learning‐Enabled Tomographic Imaging of Chemical Short‐Range Atomic Ordering Max-Planck-Institut für Nachhaltige Materialien In solids, chemical short-range order (CSRO) refers to the self-organization of atoms of certain species occupying specific crystal…

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