All Outputs (2146)

Learning-guided cross-sampling for large-scale evolutionary multi-objective optimization (2024)
Journal Article
Wang, H., Chen, L., Hao, X., Qu, R., Zhou, W., Wang, D., & Liu, W. (2024). Learning-guided cross-sampling for large-scale evolutionary multi-objective optimization. Swarm and Evolutionary Computation, 91, Article 101763. https://doi.org/10.1016/j.swevo.2024.101763

When tackling large-scale multi-objective problems (LSMOPs), the computational budget could be wasted by traditional offspring generators that explore the search space in a nearly directionless manner, impairing the efficiency of many existing algori... Read More about Learning-guided cross-sampling for large-scale evolutionary multi-objective optimization.

Small and medium enterprises will use generative AI. But how can they be helped to implement it properly? (2024)
Report
Ochang, P., Eke, D., Stahl, B., Buckley, . M., Poder, I., & Hughes, J. (2024). Small and medium enterprises will use generative AI. But how can they be helped to implement it properly?. ESPRC and RAI UK

Generative AI is changing the way our economies and businesses operate, and SMEs could be receiving more benefits from this transition. Over the past 12 months in the Responsible Generative AI for SMEs in UK and Africa (RAISE) project we have been wo... Read More about Small and medium enterprises will use generative AI. But how can they be helped to implement it properly?.

Responsible Generative AI for SMEs in UK and Africa (RAISE) : First Virtual Human Centric Design Workshop Report (2024)
Report
Ochang, P., Stahl, B., Eke, D., & Cameron, H. Responsible Generative AI for SMEs in UK and Africa (RAISE) : First Virtual Human Centric Design Workshop Report. ESPRC and RAI UK

On the 1st of July 2024, the Responsible Generative AI for SMEs in the UK and Africa (RAISE) project hosted its inaugural workshop, bringing together small and medium-sized enterprises (SMEs) from the United Kingdom and Africa. The workshop focused o... Read More about Responsible Generative AI for SMEs in UK and Africa (RAISE) : First Virtual Human Centric Design Workshop Report.

How Artists Improvise and Provoke Robotics (2024)
Presentation / Conference Contribution
Benford, S., Garrett, R., Schneiders, E., Tennent, P., Chamberlain, A., Avila, J., Brundell, P., & Castle-Green, S. (2024, October). How Artists Improvise and Provoke Robotics. Poster presented at 16th International Conference on Social Robotics + AI (ICSR + AI) 2024, Odense, Denmark

We explore transdisciplinary collaborations between artists and roboticists across a portfolio of artworks. Brendan Walker's Bronco-matic was a breath controlled mechanical rodeo bull ride. Blast Theory's Cat Royale deployed a robot arm to play with... Read More about How Artists Improvise and Provoke Robotics.

Impact over metrics: Turing and the ultimate contribution of cryptology (2024)
Journal Article
Furnell, S. (2024). Impact over metrics: Turing and the ultimate contribution of cryptology. Computer Journal, Article bxae103. https://doi.org/10.1093/comjnl/bxae103

Amongst his many lasting contributions, Alan Turing’s name is strongly linked to the domain of cryptology, particularly due to his pioneering wartime work in cryptanalysis. However, the fact that his work remained classified until many years later ha... Read More about Impact over metrics: Turing and the ultimate contribution of cryptology.

Machine Learning Pipeline for Energy and Environmental Prediction in Cold Storage Facilities (2024)
Journal Article
Alkhulaifi, N., Bowler, A. L., Pekaslan, D., Serdaroglu, G., Closs, S., Watson, N. J., & Triguero, I. (2024). Machine Learning Pipeline for Energy and Environmental Prediction in Cold Storage Facilities. IEEE Access, 12, 153935-153951. https://doi.org/10.1109/access.2024.3482572

As energy demands and costs rise, enhancing energy efficiency in Food and Drink Cold Storage (FDCS) rooms is important for reducing expenses and achieving environmental sustainability ambitions. Forecasting electricity use in FDCSs can help optimise... Read More about Machine Learning Pipeline for Energy and Environmental Prediction in Cold Storage Facilities.

Towards trustworthy medical AI ecosystems – a proposal for supporting responsible innovation practices in AI-based medical innovation (2024)
Journal Article
Herzog, C., Blank, S., & Stahl, B. C. (2024). Towards trustworthy medical AI ecosystems – a proposal for supporting responsible innovation practices in AI-based medical innovation. AI & Society, https://doi.org/10.1007/s00146-024-02082-z

In this article, we explore questions about the culture of trustworthy artificial intelligence (AI) through the lens of ecosystems. We draw on the European Commission’s Guidelines for Trustworthy AI and its philosophical underpinnings. Based on the l... Read More about Towards trustworthy medical AI ecosystems – a proposal for supporting responsible innovation practices in AI-based medical innovation.

Enhanced Infant Movement Analysis Using Transformer-Based Fusion of Diverse Video Features for Neurodevelopmental Monitoring (2024)
Journal Article
Turner, A., & Sharkey, D. (2024). Enhanced Infant Movement Analysis Using Transformer-Based Fusion of Diverse Video Features for Neurodevelopmental Monitoring. Sensors, 24(20), Article 6619. https://doi.org/10.3390/s24206619

Neurodevelopment is a highly intricate process, and early detection of abnormalities is critical for optimizing outcomes through timely intervention. Accurate and cost-effective diagnostic methods for neurological disorders, particularly in infants,... Read More about Enhanced Infant Movement Analysis Using Transformer-Based Fusion of Diverse Video Features for Neurodevelopmental Monitoring.

Designing Prosocial More-Than-Human Rhetoric within Experiential Futures (2024)
Presentation / Conference Contribution
Coulton, P., Stead, M., Pilling, M., Crabtree, A., Chamberlain, A., & Sailaja, N. (2024, October). Designing Prosocial More-Than-Human Rhetoric within Experiential Futures. Presented at Mindtrek 2024, Tampere, Finland

While prosocial behaviour is often described as behaviour intended to help and benefit others, it is primarily considered through an anthropocentric lens in that the others in question are principally humans. In this research, we consider designed sy... Read More about Designing Prosocial More-Than-Human Rhetoric within Experiential Futures.

Rethinking ethics in interdisciplinary and big data-driven neuroscience projects (2024)
Journal Article
Stahl, B. C., Ogoh, G., Schumann, G., Walter, H., On behalf of the environMENTAL consortium, Walter, H., Heinz, A., Ralser, M., Twardziok, S., Vaidya, N., Bernas, A., Serin, E., Jentsch, M., Hitchen, E., Polemiti, E., Kebir, H., Lett, T. A., Roy, J.-C., Eils, R., Taron, U.-H., …Ogoh, G. (2024). Rethinking ethics in interdisciplinary and big data-driven neuroscience projects. nature mental health, 2, 1128–1130. https://doi.org/10.1038/s44220-024-00320-3

What you hear is what you see? Perspectives on modalities in sound and music interaction (2024)
Journal Article
Iber, M., Enge, K., Rönnberg, N., Neidhardt, A., Schnell, N., Pollack, K., kallionpää, M., & Chamberlain, A. (2024). What you hear is what you see? Perspectives on modalities in sound and music interaction. Personal and Ubiquitous Computing, 28(5), 655-656. https://doi.org/10.1007/s00779-024-01835-3

Special issue: Perspectives on Modalities in Sound and Music Interaction

Issue Editors: Michael Iber, Kajetan Enge, Niklas Rönnberg, Annika Neidhardt, Norbert Schnell, Katharina Pollack, Maria Kallionpää, Alan Chamberlain

Full Contents
https:... Read More about What you hear is what you see? Perspectives on modalities in sound and music interaction.

Local cryptic diversity in salinity adaptation mechanisms in the wild outcrossing Brassica fruticulosa (2024)
Journal Article
Busoms, S., da Silva, A. C., Escolà, G., Abdilzadeh, R., Curran, E., Bollmann-Giolai, A., Bray, S., Wilson, M., Poschenrieder, C., & Yant, L. (2024). Local cryptic diversity in salinity adaptation mechanisms in the wild outcrossing Brassica fruticulosa. Proceedings of the National Academy of Sciences, 121(40), Article e2407821121. https://doi.org/10.1073/pnas.2407821121

It is normally supposed that populations of the same species should evolve shared mechanisms of adaptation to common stressors due to evolutionary constraint. Here, we describe a system of within-species local adaptation to coastal habitats, Brassica... Read More about Local cryptic diversity in salinity adaptation mechanisms in the wild outcrossing Brassica fruticulosa.

Deep learning solver unites SDGSAT-1 observations and Navier–Stokes theory for oceanic vortex streets (2024)
Journal Article
Gao, H., Huang, B., Chen, G., Xia, L., & Radenkovic, M. (2024). Deep learning solver unites SDGSAT-1 observations and Navier–Stokes theory for oceanic vortex streets. Remote Sensing of Environment, 315, Article 114425. https://doi.org/10.1016/j.rse.2024.114425

The world’s first scientific satellite for sustainable development goals (SDGSAT-1) provides valuable data about offshore small-scale ocean phenomena, including the Kármán vortex street phenomenon. Although the simulation of the oce... Read More about Deep learning solver unites SDGSAT-1 observations and Navier–Stokes theory for oceanic vortex streets.

FiDRL: Flexible Invocation-Based Deep Reinforcement Learning for DVFS Scheduling in Embedded Systems (2024)
Journal Article
Li, J., Jiang, W., He, Y., Yang, Q., Gao, A., Ha, Y., Özcan, E., Bai, R., Cui, T., & Yu, H. (2024). FiDRL: Flexible Invocation-Based Deep Reinforcement Learning for DVFS Scheduling in Embedded Systems. IEEE Transactions on Computers, 74(1), 71 - 85. https://doi.org/10.1109/TC.2024.3465933

Deep Reinforcement Learning (DRL)-based Dynamic Voltage Frequency Scaling (DVFS) has shown great promise for energy conservation in embedded systems. While many works were devoted to validating its efficacy or improving its performance, few discuss t... Read More about FiDRL: Flexible Invocation-Based Deep Reinforcement Learning for DVFS Scheduling in Embedded Systems.

Intelligent Sparse2Dense Profile Reconstruction for Predicting Global Subsurface Chlorophyll Maxima (2024)
Journal Article
Yu, Y., Huang, B., Radenkovic, M., Wang, T., & Chen, G. (2024). Intelligent Sparse2Dense Profile Reconstruction for Predicting Global Subsurface Chlorophyll Maxima. IEEE Transactions on Geoscience and Remote Sensing, 62, Article 4211013. https://doi.org/10.1109/tgrs.2024.3464850

Subsurface chlorophyll maximum (SCM) is a crucial ecological indicator for marine ecosystems. Previous studies have indicated that this phenomenon is globally widespread. Although the biogeochemical argo assimilation results have yielded positive res... Read More about Intelligent Sparse2Dense Profile Reconstruction for Predicting Global Subsurface Chlorophyll Maxima.

Reimagining the Design of Mobile Robotic Telepresence: Reflections from a Hybrid Design Workshop (2024)
Presentation / Conference Contribution
Reyes-Cruz, G., Martinez Avila, J., Schneiders, E., & Boudouraki, A. (2024, September). Reimagining the Design of Mobile Robotic Telepresence: Reflections from a Hybrid Design Workshop. Presented at TAS '24: Second International Symposium on Trustworthy Autonomous Systems, Austin, Texas, USA

Mobile robotic telepresence systems have been around for more than a decade, promising to improve on traditional video conferencing by enabling remote movement, and more recently, providing autonomous features for navigation, yet their use in the rea... Read More about Reimagining the Design of Mobile Robotic Telepresence: Reflections from a Hybrid Design Workshop.

LOOM: a Privacy-Preserving Linguistic Observatory of Online Misinformation (2024)
Presentation / Conference Contribution
Clos, J., McClaughlin, E., Barnard, P., Tom, T., & Yajaman, S. (2024, September). LOOM: a Privacy-Preserving Linguistic Observatory of Online Misinformation. Presented at Second International Symposium on Trustworthy Autonomous Systems (TAS ’24), Austin, Texas, USA

Online misinformation is an ever-growing challenge that can have a negative impact on individuals, societies, and democracies. We report on LOOM, a project that aims to build and validate a browser-based tool to detect and respond to misinformation i... Read More about LOOM: a Privacy-Preserving Linguistic Observatory of Online Misinformation.

The Earth, Brain, Health Commission: how to preserve mental health in a changing environment (2024)
Journal Article
Schumann, G., Barciela, R., Benegal, V., Bernard, A., Desrivieres, S., Feng, J., Gong, P., Heinz, A., Hunt, X., Jin, L., Luterbacher, J., Marquand, A., Meyer-Lindenberg, A., Salomon, J., Schwalber, A., Shetty, S., Stahl, B., & Thompson, P. (2024). The Earth, Brain, Health Commission: how to preserve mental health in a changing environment. nature mental health, 2, 1121–1123. https://doi.org/10.1038/s44220-024-00314-1

Responsibility and Regulation: Exploring Social Measures of Trust in Medical AI (2024)
Presentation / Conference Contribution
McGarry, G., Crabtree, A., Chamberlain, A., & Urquhart, L. D. (2024, September). Responsibility and Regulation: Exploring Social Measures of Trust in Medical AI. Presented at TAS '24: Proceedings of the Second International Symposium on Trustworthy Autonomous Systems, Austin, Texas, USA

This paper explores expert accounts of autonomous systems (AS) development in the medical device domain (MD) involving applications of artificial intelligence (AI), machine learning (ML), and other algorithmic and mathematical modelling techniques. W... Read More about Responsibility and Regulation: Exploring Social Measures of Trust in Medical AI.

Trustworthy Airspaces of the Future: Hopes and concerns of experts regarding Uncrewed Traffic Management systems (2024)
Presentation / Conference Contribution
R. Cameron, H., McBride, N., Ochang, P., & C. Stahl, B. (2024, September). Trustworthy Airspaces of the Future: Hopes and concerns of experts regarding Uncrewed Traffic Management systems. Presented at Trustworthy Autonomous Systems International Symposium '24, Austin, Texas, USA

Uncrewed aerial systems (UAS) such as drones are an increasingly mundane part of our skies, and are expected as an industry to undergo exponential growth in the coming decade. In order to monitor and manage the airspace, Uncrewed Traffic Management (... Read More about Trustworthy Airspaces of the Future: Hopes and concerns of experts regarding Uncrewed Traffic Management systems.