O3 Mining Identifies New Targets Confirming Validity of Artificial Intelligence Targeting

O3 Mining is pleased to provide results from its completed summer channel sampling program at its Alpha property, located 15 kilometres southeast of Val-d’Or, Québec. The targets were generated by our exploration team and verified using artificial intelligence (“AI”). The collaborative AI work with Mira Geoscience Ltd. (“Mira”), has allowed O3 Mining’s exploration team to leverage many years of multidisciplinary exploration data, including a compilation of historical work, field observations as well as mineral prospectivity indices (MPI) produced by Mira, and is playing a significant role in the current exploration targeting process at Alpha.

Recommended AI News: Exactech Launches Predict+, First Machine Learning-Based Software That Informs Surgeons With Patient-Specific Outcomes Predictions After Shoulder Replacement Surgery

Highlights

• El Sol: 128 g/t Au over 0.7 metres
• Valdora: 70.9 g/t Au over 1.5 metres
• Paramaque : 16.3 g/t Au over 0.7 metres
• Simkar: 7.8 g/t Au over 1.2 metres

The East Alpha area, sectors 2 and 3 (see Figure 1), was first selected with the goal of better understanding the structural context and mineralization controls while taking advantage of the sub-cropping nature of that area. The summer work program comprised 31 outcrops and 4,650 channel samples within this sub-outcropping area. The zones tested include Simkar, El Sol, and Goldora zones (Sector 3) along the Anamaque corridor and the Valdora, Sabourin, and Jolin zones (Sector 2) along the Skarn corridor. Significant assay results are presented below and include 23 channel sample intercepts (see Table 1). Among those, El Sol and Simkar zones were part of the main priority targets recommended by Mira, and both zones delivered the best results of the campaign. Moreover, at least 20 untested AI targets distributed in covered areas have been identified across the entire property. Now that the AI methodology has been verified, the Company is eager to drill test those greenfield targets as we believe they offer significant potential for discovery.

Recommended AI News: Keller Lenkner Files Class Action Lawsuit Against LinkedIn For Inflating Advertising Metrics And Misreporting User Activity

“We are really excited to be able to identify four strong targets in sectors 2 and 3 at East Alpha with our summer fieldwork. The geological knowledge-based targets were confirmed by the artificial intelligence methodology carried out before. The channel sampling program allowed key geological observations to be made which significantly improved our understanding of the gold mineralization controls in the eastern part of Alpha. The updated geological model is now more accurate and as a result, we have growing confidence in the robustness of the drilling targets it is helping us define,” said President and CEO Jose Vizquerra.

Recommended AI News: Belgium Hospital Orders Enterprise Imaging Solution From Sectra