59 citations · 76 across the 6 of their papers we have counts for
9 papers
Multi-AI Complex Systems in Humanitarian Response
Joseph Aylett-Bullock, Miguel Luengo-Oroz
AI is being increasingly used to aid response efforts to humanitarian emergencies at multiple levels of decision-making. Such AI systems are generally understood to be stand-alone…
Ensuring the Inclusive Use of Natural Language Processing in the Global Response to COVID-19
Alexandra Sasha Luccioni, Katherine Hoffmann Pham, Cynthia Sin Nga Lam +2
Natural language processing (NLP) plays a significant role in tools for the COVID-19 pandemic response, from detecting misinformation on social media to helping to provide accurate…
Optimising simulations for diphoton production at hadron colliders using amplitude neural networks
Joseph Aylett-Bullock, Simon Badger, Ryan Moodie
Machine learning technology has the potential to dramatically optimise event generation and simulations. We continue to investigate the use of neural networks to approximate matrix…
Considerations, Good Practices, Risks and Pitfalls in Developing AI Solutions Against COVID-19
Alexandra Luccioni, Joseph Bullock, Katherine Hoffmann Pham +2
The COVID-19 pandemic has been a major challenge to humanity, with 12.7 million confirmed cases as of July 13th, 2020 [1]. In previous work, we described how Artificial Intelligenc…
Mapping the Landscape of Artificial Intelligence Applications against COVID-19
Joseph Bullock, Alexandra Luccioni, Katherine Hoffmann Pham +2
COVID-19, the disease caused by the SARS-CoV-2 virus, has been declared a pandemic by the World Health Organization, which has reported over 18 million confirmed cases as of August…
Using neural networks for efficient evaluation of high multiplicity scattering amplitudes
Simon Badger, Joseph Bullock
Precision theoretical predictions for high multiplicity scattering rely on the evaluation of increasingly complicated scattering amplitudes which come with an extremely high CPU co…