Palaeoanalytics Using data science and machine learning to develop cross-disciplinary analytical methods in human evolutionary studies
Bringing the social city to the smart city Using AI and machine learning to understand and simulate cities
Topological hierarchies in complex image data Developing new techniques for understanding complex image data to enable and advance biological discovery
From field data to global indicators Investigating how plant data can be efficiently and reliably linked across data infrastructures around the world
Measurement theory for data science and AI Modelling the skills of learning machines and developing standardised benchmark tests
Towards Autonomous Robotic Systems Conference (TAROS) Wednesday 03 Jul 2019 - Friday 05 Jul 2019 Time: 09:00 - 18:00
Geospatial Standards for Data Science Tuesday 12 Mar 2019 Time: 14:30 - 17:30 Dr Paul Cripps Dr. Gobe Hobona
Anomaly detection in networks with application to financial transaction networks This paper is motivated by the task of detecting anomalies in networks of financial... A. Elliott, M. Cucuringu, M. M. Luaces, P. Reidy, and G. Reinert, Anomaly detection in networks with application to financial transaction networks, (arXiv 1901.00402) (2019)
Game AI How can we advance the state of the art in game AI and apply it to ever more interesting and important problems, in games and beyond?
Health and medical sciences Accelerating the scientific understanding of human disease and improving human health through data-driven innovation in AI and statistical science.