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Baptista A., Barp A., Chakraborti T. et al. Deep Learning as Ricci Flow, Scientific Reports , 08 October 2024

Data Study Group Team. (2024). Data Study Group Final Report: Ignota Labs - Toxicity Prediction for Drug Discovery (Version 1). The Alan Turing Institute. https://doi.org/10.5281/zenodo.13882192

Data Study Group Team. (2024). Data Study Group Final Report: Johnson Matthey - Data Driven Modelling of Chemical Processes: Towards Flexible Production of Energy Carriers for a Net-Zero Society (Version 1). The Alan Turing Institute. https://doi.org/10.5281/zenodo.13847810

Data Study Group Team. (2024). Data Study Group Final Report: UK Centre for Ecology & Hydrology (UKCEH) - Advancing Insect Biodiversity Monitoring through Automated Sensors, Deep Learning, and Citizen Science Data (Version 1). The Alan Turing Institute. https://doi.org/10.5281/zenodo.13687424

DOI: 10.3390/rs15225277

DOI: 10.48550/arXiv.2408.00713

DOI: 10.1109/SPW63631.2024.00013

Margetts, H., Dorobantu, C. and Bright, J. (2024), How to Build Progressive Public Services with Data Science and Artificial Intelligence. The Political Quarterly.

Williams, A.R., Burke-Moore, L., Chan, R.S.-Y., Enock, F.E., Nanni, F., Sippy, T., Chung, Y.-L., Gabasova, E., Hackenburg, K. and Bright, J. (2024). Large language models can consistently generate high-quality content for election disinformation operations. [online] arXiv.org.

DOI: 10.1016/j.rse.2024.114073

Silvia Stopponi, Nilo Pedrazzini, Saskia Peels-Matthey, Barbara McGillivray, and Malvina Nissim. 2024. Natural language processing for Ancient Greek: Design, advantages and challenges of language models. Diachronica. https://doi.org/10.1075/dia.23013.sto.

Mia Ridge, Nilo Pedrazzini, Miguel Vieira, Arianna Ciula, and Barbara McGillivray. 2024. Language of Mechanisation Crowdsourcing Datasets from the Living with Machines Project. Journal of Open Humanities Data 10 (1): 33. https://doi.org/10.5334/johd.195.

Nilo Pedrazzini. 2024. Mapping ‘when’-clauses in Latin American and Caribbean languages: an experiment in subtoken-based typology. In Proceedings of the 4th Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP 2024), 24–33, Mexico City, Mexico. Association for Computational Linguistics. https://aclanthology.org/2024.americasnlp-1.4

Andrés Domínguez Hernández, Shyam Krishna, Antonella Maia Perini, Michael Katell, SJ Bennett, Ann Borda, Youmna Hashem, Semeli Hadjiloizou, Sabeehah Mahomed, Smera Jayadeva, Mhairi Aitken, and David Leslie. 2024. Mapping the individual, social and biospheric impacts of Foundation Models. In Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency (FAccT '24). Association for Computing Machinery, New York, NY, USA, 776–796. https://doi.org/10.1145/3630106.3658939

https://doi.org/10.2514/1.I011359

Tam, K. “How AI is Developing The Future of National Security Protocols” Karve International, Insights (2024)