Eastern Hemisphere Webinar, Part 1
UTC
7.00 – 7.10
Christopher Lawley & Jonathan Cloutier
Welcome & Introduction
7.10 – 7.30
University of Sydney
Decoding Porphyry Prospectivity: A Plate Reconstruction and Machine Learning Approach
7.30 – 7.50
Matt Cracknell
CODES
Time travellers wanted: spatiotemporal mineral prospectivity analysis across the central Andes
7.50 – 8.10
Katie Peters
Kenex
A commodity-based approach to mineral potential mapping in data rich terraines
8.10 – 8.30
Russell Menezes
RadiXplore
Ghosts in the Machine: How AI Agents and Machine Learning Can Find the Lost Mines of Tomorrow in the Exploration Reports of Yesterday
8.30 – 8.50
Arnaud Fontaine
Arethuse
From litho-structural to gold prospectivity mapping in northern Arabian-Nubian Shield
8.50 – 9.10
Malcom Arahna
Helmholtz Zentrum Dresden ROSENDORF (HZDR)
From Expert Knowledge to Unsupervised Learning: Prospectivity Modelling of Fe-Ti-V Mineralisation in Beja, Portugal
9.10 – 9.30
Chetan Nathwani
ETH
Classification of porphyry zircon textures using deep learning