We are thrilled to invite you to the next EarthByte Seminar, where Richard Scott, Principal Data Scientist at the BHP Exploration Team, will be our guest speaker. His presentation, titled ‘The Application of Deep Learning in Mineral Exploration,’ will offer valuable insights into cutting-edge techniques in the field. This is a great opportunity to hear from a top professional—don’t miss it!
- Date: Wednesday, September 25, 2024
- Time: 11 am – 12 pm AEDT
- Location: Room 449 (Conference Room), Madsen (F09), School of Geosciences
- Zoom Link: https://uni-sydney.zoom.us/j/86190757654?from=addon
The Application of Deep Learning in Mineral Exploration
Abstract
The integration of deep learning into mineral exploration has emerged as a significant development in the geosciences. This presentation will examine the impact of deep learning on the analysis and interpretation of complex geoscience data, which is essential for identifying potential mineral deposits. The evolution of machine learning in mineral exploration has progressed from traditional statistical methods to advanced deep-learning algorithms. Examples will illustrate how deep learning enhances the accuracy and efficiency of mineral exploration processes. Notable applications include the use of convolutional neural networks.
The collaboration between geoscientists and data scientists showcases the interdisciplinary nature of modern mineral exploration. This is crucial for the successful application of deep learning techniques, which require expertise from both fields to optimize their effectiveness.
Given advances in artificial intelligence, the future potential in mineral exploration is important, whether in real-time data integration or advancements in unsupervised learning. The ongoing development of deep learning models aims to enhance their interpretability and transparency, addressing challenges related to data quality and the “black box” nature of these algorithms.
