Publications

Thinking & Doing Science in the Age of AI

Noble, A.

Daedalus

Human-AI Collaboration in Healthcare: A Scoping Review

Strong, J., Rogers, H., Sun, E., Todsen, A. L., Ede, J., Lumley, C., Yeung, N., Higham, H., & Noble, J. A.

npj Digital Medicine

The human factor in explainable artificial intelligence: clinician variability in trust, reliance, and performance

Nicolson, A., Bradburn, E., Gal, Y., Papageorghiou, A. T., & Noble, J. A.

npj Digital Medicine

Normative growth trajectories of fetal brain regions validated by satisfactory maturation of neurodevelopmental domains at 2 years of age

Wyburd, M. K., Kennedy, S. H., Fernandes, M., Dinsdale, N. K., Hesse, L. S., Gunier, R. B., Cheikh Ismail, L., Ohuma, E. O., Gravett, M. G., Purwar, M., Qingqing, W., Winsey, A., Bertino, E., Jaffer, Y., Carvalho, M., Barros, F. C., Stein, A., Noble, A. J., Molnár, Z., Jenkinson, M., Nichols, T. E., Smith, S., Bhutta, Z. A., Papageorghiou, A. T., Villar, J., & Namburete, A. I. L.

Nature Communications

Normative spatiotemporal fetal brain maturation with satisfactory development at 2 years

Namburete, A. I. L., Papież, B. W., Fernandes, M., Wyburd, M. K., Hesse, L. S., Moser, F. A., Cheikh Ismail, L., Gunier, R. B., Squier, W., Ohuma, E. O., Carvalho, M., Jaffer, Y., Gravett, M., Wu, Q., Lambert, A., Winsey, A., Restrepo-Méndez, M. C., Bertino, E., Purwar, M., Barros, F. C., Stein, A., Noble, J. A., Molnár, Z., Jenkinson, M., Bhutta, Z. A., Papageorghiou, A. T., Villar, J., & Kennedy, S. H.

Nature

Acquisition-invariant brain MRI segmentation with informative uncertainties

Dinsdale, N. K., Jenkinson, M., & Namburete, A. I. L.

NeuroImage

PoseBusters: AI-based docking methods fail to generate physically valid poses or generalise to novel sequences

Buttenschoen, M., Morris, G. M., & Deane, C. M.

Chemical Science

Codon language embeddings provide strong signals for use in protein engineering

Outeiral, C., & Deane, C. M.

Nature Machine Intelligence

ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins

Abanades, B., Wong, W. K., Boyles, F., Georges, G., Bujotzek, A., & Deane, C. M.

Communications Biology

Heavy-element production in a compact object merger observed by JWST

Levan, A. J., Gompertz, B. P., Salafia, O. S., … Stevance, H. F., et al.

Nature

NEural Engine for Discovering Luminous Events (NEEDLE): identifying rare transient candidates in real time from host galaxy images

Sheng, X., Nicholl, M., Smith, K. W., Young, D. R., Williams, R. D., Stevance, H. F., Smartt, S. J., Srivastav, S., & Moore, T.

MNRAS

End-to-end study of the host galaxy and genealogy of the first binary neutron star merger

Stevance, H. F., Eldridge, J. J., Stanway, E. R., Lyman, J., McLeod, A. F., & Levan, A. J.

Nature Astronomy

Child-Centered AI: Contextualizing Principles and Design in HCI

Wang, G., Atabey, A., Sun, K., Lin, G. C., Johnston, S.-K., Pothong, K., Wilson, C., Urquhart, L. D., Yip, J. C., & Zhao, J.

Interactions

Online Privacy, Young People, and Datafication: Different Perceptions About Online Privacy Across Antigua & Barbuda, Australia, Ghana, and Slovenia

Farthing, R., Koren Ošljak, K., Akuetteh, T., Camacho, K., Smith-Nunes, G., & Zhao, J.

Social Media + Society

Challenges and opportunities in translating ethical AI principles into practice for children

Wang, G., Zhao, J., Johnston, S. K., Zhang, Z., Van Kleek, M., & Shadbolt, N.

Nature Machine Intelligence

A Computational Framework for Droplet Size Distribution in Liquid Jets into Crossflow via Deep Learning and Image-Based Analysis

Tretola, G., Vernon, L., Roberts, S., & Vogiatzaki, K.

Journal of Computational Physics

Scientific machine learning based framework to forecast time evolving pressure signals during hydrogen leaks

Tretola, G., Weissenbacher, M., Vogiatzaki, K.

International Journal of Hydrogen Energy

Digital Twins for Cryogenic Hydrogen Safety: Integrating Computational Fluid Dynamics and Machine Learning

Vogiatzaki, K., Tretola, G., & Cesmat, L.

Hydrogen

The Evaluation Differential: When Frontier AI Models Recognise They Are Being Tested

Vishwarupe, V., Shadbolt, N., Jirotka, M., & Flechais, I.

arXiv preprint

AV-PsySafe: A risk model and analysis method for the psychological safety of human and autonomous vehicles interaction

Sirgabsou, Y., Hardin, B., Leblanc, F., Raili, E., Salvini, P., Jackson, D., Jirotka, M., & Kunze, L.

Transportation Research Interdisciplinary Perspectives

Ethical governance is essential to building trust in robotics and artificial intelligence systems

Winfield, A. F. T., & Jirotka, M.

Philosophical Transactions of the Royal Society A

Fully autonomous tuning of a spin qubit

Schuff, J., Carballido, M. J., Kotzagiannidis, M., Calvo, J. C., Caselli, M., Rawling, J., Craig, D. L., van Straaten, B., Severin, B., Fedele, F., Svab, S., Chevalier Kwon, P., Eggli, R. S., Patlatiuk, T., Korda, N., Zumbühl, D. M., & Ares, N.

Nature Electronics, Volume 9, pages 304–313

Artificial intelligence for quantum computing

Alexeev, Y., Farag, M. H., Patti, T. L., Wolf, M. E., Ares, N., Aspuru-Guzik, A., Benjamin, S. C., Cai, Z., Cao, S., Chamberland, C., Chandani, Z., Fedele, F., Hamamura, I., et al.

Nature Communications, Volume 16, Article number 10829

Machine learning enables completely automatic tuning of a quantum device faster than human experts

Moon, H., Lennon, D. T., Kirkpatrick, J., van Esbroeck, N. M., Camenzind, L. C., Yu, L., Vigneau, F., Zumbühl, D. M., Briggs, G. A. D., Osborne, M. A., Sejdinovic, D., Laird, E. A., & Ares, N.

Nature Communications, Volume 11, Article number 4161

NetFridgeS: Enabling Dynamic Frequency Scaling on Network Switches through Carbon-Aware Routing

Wang, Z., & Zilberman, N.

Proceedings of the ACM on Networking, Volume 3, Issue CoNEXT4

The Small World Web of AI

Zilberman, N., & Jackson, A.

Proceedings of the 24th ACM Workshop on Hot Topics in Networks

Planter: Rapid Prototyping of In-Network Machine Learning Inference

Zheng, C., Zang, M., Hong, X., Perreault, L., Bensoussane, R., Vargaftik, S., Ben-Itzhak, Y., & Zilberman, N.

Proceedings of the 18th ACM Workshop on Hot Topics in Networks