Humans, machines, rocks and data
Interpreting geology from data is rocky territory, with uncertainties often arising around results. Machine learning has the potential to minimise any discrepancies, but why isn’t it more widely used?
At this talk, we’ll dig deep, asking how technologies could be refined to deliver actionable solutions that would help geological decision-making.
Bio
Prof Holden was trained as a computer scientist at UWA and worked as a researcher specialising in deaf sign language recognition and visualisation using computer vision and graphics techniques. She made a transition to geoscience in 2006, and developed and commercialised a number of data analytics tools that had significant uptake by the resource industry globally. Her current research focuses on machine assisted modelling of geology and resource using interpretable and actionable data science solutions.
5:30pm @Ivy & Jack, 788 Hay St, Perth
Also speaking at this location at 7:00pm is Prof Thomas Bräunl
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