Zobrazeno 1 - 10
of 5 717
pro vyhledávání: '"P, Eyre"'
Autor:
Prodan, Ante, Occhipinti, Jo-An, Ahlip, Rehez, Ujdur, Goran, Eyre, Harris A., Goosen, Kyle, Penza, Luke, Heffernan, Mark
This paper explores the nuanced landscape of generative AI (genAI), particularly focusing on neural network-based models like Large Language Models (LLMs). While genAI garners both optimistic enthusiasm and sceptical criticism, this work seeks to pro
Externí odkaz:
http://arxiv.org/abs/2410.16629
Autor:
Rogers, Mitchell, Knowles, Kobe, Gendron, Gaël, Heidari, Shahrokh, Valdez, David Arturo Soriano, Azhar, Mihailo, O'Leary, Padriac, Eyre, Simon, Witbrock, Michael, Delmas, Patrice
Deep learning approaches for animal re-identification have had a major impact on conservation, significantly reducing the time required for many downstream tasks, such as well-being monitoring. We propose a method called Recurrence over Video Frames
Externí odkaz:
http://arxiv.org/abs/2406.13002
Autor:
Occhipinti, Jo-An, Hynes, William, Prodan, Ante, Eyre, Harris A., Green, Roy, Burrow, Sharan, Tanner, Marcel, Buchanan, John, Ujdur, Goran, Destrebecq, Frederic, Song, Christine, Carnevale, Steven, Hickie, Ian B., Heffernan, Mark
Work is fundamental to societal prosperity and mental health, providing financial security, identity, purpose, and social integration. The emergence of generative artificial intelligence (AI) has catalysed debate on job displacement. Some argue that
Externí odkaz:
http://arxiv.org/abs/2407.01545
Autor:
Occhipinti, Jo-An, Prodan, Ante, Hynes, William, Green, Roy, Burrow, Sharan, Eyre, Harris A, Skinner, Adam, Ujdur, Goran, Buchanan, John, Hickie, Ian B, Heffernan, Mark, Song, Christine, Tanner, Marcel
Generative Artificial Intelligence (AI) stands as a transformative force that presents a paradox; it offers unprecedented opportunities for productivity growth while potentially posing significant threats to economic stability and societal wellbeing.
Externí odkaz:
http://arxiv.org/abs/2403.17405
Autor:
Anderson, Evan J. D., Eyre, Christopher K., Dailey, Isabel M., Rozpędek, Filip, Bash, Boulat A.
We explore covert communication of qubits over the lossy thermal-noise bosonic channel, which is a quantum-mechanical model of many practical channels, including optical. Covert communication ensures that an adversary is unable to detect the presence
Externí odkaz:
http://arxiv.org/abs/2401.06764
Designing deep neural network classifiers that perform robustly on distributions differing from the available training data is an active area of machine learning research. However, out-of-distribution generalization for regression-the analogous probl
Externí odkaz:
http://arxiv.org/abs/2312.17463
Autor:
Gendron, Gaël, Chen, Yang, Rogers, Mitchell, Liu, Yiping, Azhar, Mihailo, Heidari, Shahrokh, Valdez, David Arturo Soriano, Knowles, Kobe, O'Leary, Padriac, Eyre, Simon, Witbrock, Michael, Dobbie, Gillian, Liu, Jiamou, Delmas, Patrice
Better understanding the natural world is a crucial task with a wide range of applications. In environments with close proximity between humans and animals, such as zoos, it is essential to better understand the causes behind animal behaviour and wha
Externí odkaz:
http://arxiv.org/abs/2312.14333
Autor:
Lipsitch, Marc, Bassett, Mary T., Brownstein, John S., Elliott, Paul, Eyre, David, Grabowski, M. Kate, Hay, James A., Johansson, Michael, Kissler, Stephen M., Larremore, Daniel B., Layden, Jennifer, Lessler, Justin, Lynfield, Ruth, MacCannell, Duncan, Madoff, Lawrence C., Metcalf, C. Jessica E., Meyers, Lauren A., Ofori, Sylvia K., Quinn, Celia, Bento, Ana I. Ramos, Reich, Nick, Riley, Steven, Rosenfeld, Roni, Samore, Matthew H., Sampath, Rangarajan, Slayton, Rachel B., Swerdlow, David L., Truelove, Shaun, Varma, Jay K., Grad, Yonatan H.
The COVID-19 pandemic has highlighted the need to upgrade systems for infectious disease surveillance and forecasting and modeling of the spread of infection, both of which inform evidence-based public health guidance and policies. Here, we discuss r
Externí odkaz:
http://arxiv.org/abs/2311.13724
Autor:
Karina-Doris Vihta, Emma Pritchard, Koen B. Pouwels, Susan Hopkins, Rebecca L. Guy, Katherine Henderson, Dimple Chudasama, Russell Hope, Berit Muller-Pebody, Ann Sarah Walker, David Clifton, David W. Eyre
Publikováno v:
Communications Medicine, Vol 4, Iss 1, Pp 1-14 (2024)
Abstract Background Predicting antimicrobial resistance (AMR), a top global health threat, nationwide at an aggregate hospital level could help target interventions. Using machine learning, we exploit historical AMR and antimicrobial usage to predict
Externí odkaz:
https://doaj.org/article/54e1bfd2e76347debd391cc59454cb4a
Genomic epidemiology describes introduction and outbreaks of antifungal drug-resistant Candida auris
Autor:
Dana Kappel, Hugh Gifford, Amelie Brackin, Alireza Abdolrasouli, David W. Eyre, Katie Jeffery, Silke Schlenz, David M. Aanensen, Colin S. Brown, Andrew Borman, Elizabeth Johnson, Alison Holmes, Darius Armstrong-James, Matthew C. Fisher, Johanna Rhodes
Publikováno v:
npj Antimicrobials and Resistance, Vol 2, Iss 1, Pp 1-10 (2024)
Abstract Candida auris is a globally emerged fungal pathogen causing nosocomial invasive infections. Here, we use cutting-edge genomic approaches to elucidate the temporal and geographic epidemiology of drug-resistant C. auris within the UK. We analy
Externí odkaz:
https://doaj.org/article/6ac150c3ab8d415bbe9066618591ec7a