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Machine Learning – Applications in Mineral Exploration

Australian Institute of Geoscientists > Events > Machine Learning – Applications in Mineral Exploration


Date(s) - Monday, 28/10/2019
8:30 am - 5:00 pm

UQ Business School, Lvl 6, 293 Queen St, Brisbane


Australian Institute of Geoscientist and IMAGO Present:

Machine Learning

Applications in Mineral Exploration


Date & Time

Monday 28th October 2019
Registration from 8:00am
Seminar starts at 8:25am
Seminar Ends at 5:30pm



UQ Business School,
Lvl 6, 293 Queen St, Brisbane

Seminar details

In recent times we have been bombarded with stories on how machine learning and artificial intelligence will change how we do everything. The rapid growth of machine learning has been enabled by access to the ever-increasing capacity of modern computer processors and cloud computing. The mineral exploration and mining industry are no different and has started to embrace the new tools. For some it is already here, and for some it’s just another “black box”. So, what is Machine Learning and Artificial Intelligence, how will it change what we do, and where/who are the experts?

Themes include:

  • What is Machine Learning and what does it mean for the industry?
  • Data collection & manipulation
  • Automated drill-core logging and geological model building
  • Exploration targeting
  • Getting more from data and images

A great line up of speakers including: Tony Hampton (Imago), Steve Sullivan (Maptek), Warwick Anderson (OreFox), Andrew McCulloch & Richard Scott (Oz Minerals), Lauren Maxwell (Global Ore Discovery), Kane Maxwell (Peabody Energy), Prof. Rick Valenta (UQ SMI), John Anderson (Austrike Resources), Brenton Crawford (Solve Geosolutions), Marc-Antoine Laport (SGS), and many more! Full program available shortly. Preliminary Program is available for download in the flyer below.

Seminar Supporters


For more information:

Peter Caristo ( m: 0499 022 509

Click here to download Flyer & Preliminary Program


AIG Member: $175
Non-member: $250
Student members (limited number): $50
Retired members: $50


Registrations are open now.


This event is fully booked.