By Team IOS, Friday, May 10

QUEBEC CITY, MAY 12th TO 15th 2019


Research without practical applications is not R&D. its research and entertainment!

Let's put development back into it !


True to its tradition, IOS will have a significant presence at the annual conference of the Geological Association of Canada, the "GAC-MAC". Although IOS is devolved to the exploration industry, the more academic conferences remain strategic to allow the resourcing of our geologists, and also because the academic and governmental world remains an incredible vector of propagation of our technologies.




We will take advantage of the GAC-MAC to unveil our new ARTMin-II technology. Just as ARTGoldTM technology has revolutionized exploration for gold in glaciated environments, ARTMin-II will revolutionize exploration for other commodities in such environments. ARTMin-II is a fully automated method for detecting minerals associated with mineralization from other heavy minerals that covers all of the 3900 recognized mineral species in a robust, efficient and affordable manner. In addition, since the technology operates on finer grain size fractions than conventional methods, it requires significantly smaller sample sizes, resulting in proportional savings in the field. This technology will revolutionize this segment of the industry. A presentation will be made at the session on indicator minerals SS-RE06, Tuesday at 2:10 PM.




Since it's unveiling at Xplor-2018, our approach to digital petrography is viral ... especially among university and institutional researchers. Come and see a demonstration at our booth, our developers will make you crack... Two presentations are also offered, at the GS-04 session (Wednesday 1:20 PM) to explain the technology, and a case study on a mineralized deposit on session SS-RE14 (Tuesday 4:10 PM).



ARTPhot et ARTGoldTM


Deployed for 3 years now, our ARTGoldTM and ARTPhot technologies accumulate the results... and the successes. Various aspects of these results and new developments will be presented, such as artificial intelligence calculation methods for grain volume, and thus gold grades (SS-RE07, Monday at 9:20 AM), the use of gold grains chemical analysis (GS-03, Wednesday at 10:40 AM), the classification of morphologies by artificial intelligence (SS-DS04, Tuesday at 3:30 PM), and automated optical recognition of minerals (SS-DS04, Tuesday at 3:20 PM).




IOS, together with the Geolean group, organized a special session (SS-DS04, Monday afternoon), on applications of artificial intelligence in exploration. Well beyond the traditional targeting, these applications are as many as surprising. This is a deep trend that mineral exploration won't escape. In addition to the shapes classification and mineral identification presentations above, IOS will provide a presentation on the use of Bayesian logic for the prediction of rare events, such as are mineralized deposits.




Counterpart of geometallurgy, geo-environment is an integrated approach to environmental management in the mining environment. A pioneer in his development, Mr. Vermette will offer an inspiring presentation (GS-01, Monday at 2:10 PM) on how to predict the mitigation of environmental impacts during exploration work itself. It's a first...


In short, here are our nine talks, it's about 1% of the congress:



SS-DS01 Artificial intelligence in natural resources, algorithm development and applications
Monday, May 13 
9:20 AM: Volumetric calculation of minute gold grain: insight from machine learning!: Néron, A., Madon, B., Girard, R.


GS-01 General hydrogeology
Monday, May 13
2:10 PM: Geoenvironmental characterization protocol for environmental risks assessment and waste rock management: Vermette, D., Demers, I., Benzaazoua, M.


SS-DS04 Machine Learning as an interpretation tool for geologists
R. Girard, Co-organisateur; Monday, May 13
1:50 PM: The Bayesian logic in mining industry: HyperCube to predict mineral deposits: Dombrowski, C.
3:30 PM: Convolutional neuron network image classifier optimized for detection of rare geological features: an example on gold grains in tills: Néron, A., Tramblay, J., Girard, R.
3:50 PM: Optical reconnaissance of minerals: the contribution of machine learning: Maitre, J., Bédard, L.P., Bouchard, K.


SS-RE06 Indicator minerals and exploration methods
Tuesday, Mai 14
9:20 AM: SEM-Based automated mineralogy: a comparative between the particle segmentation and clustering approaches: Girard, R., Tremblay, J., Néron, A.


SS-RE14 Recent advances on ore forming processes related to magmatic Ni-Cu-PGE, Cr-PGE, and Fe-Ti-V deposits and their implications for mineral exploration
Tuesday, May 14
4:10 PM: Numerical petrography on ore samples from the vanadiferous magnetite deposit of the Lac Doré Complex (Québec, Canada) and its application: Arguin, J.-P., Tremblay, J., Néron, A., Girard, R.


GS-03 Glacial geology and geomorphology in Canada
Wenesday, May 15
10:40 AM: Chemistry of detrital gold grains as footprint discrimination tool in drift exploration: Girard, R.


GS-04 Petrography, mineralogy and crystallography
Wenesday, May 15
1:30 PM: Correlative petrography: foundations for virtual, accurate, sustainable and shareable petrographical data: Tremblay, J., Neron, A., Girard, R.


There are those who follow the rules... and those who define them!


3D reconstruction of a microscopic gold grain recovered from glacial sediment, as part of the process to balance gold assays and grain abundance.

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