Granada Gold Mine Inc. announced ALS GoldSpot has completed its first round of deliverables as part of its approach to identifying highly prospective areas for new discoveries at existing gold deposits. The Company expects the second round to produce new machine learning drill targets for both the main Granada Block and the Aukeko block to the east. Highlights: Four medium-high risk holes for 3,100m of drilling have been identified in addition to the 9 zones where there could be significant impact to the resource with some larger step outs.

LiDAR Processing and Derivative Products ultimately used to develop a new Lineament Map of the entire Granada property. Geophysical Inversions of Regional Surveys and Local Drone Surveys have been created. Traditional Targeting focusing on 9 sectors prioritized by depth, grade of nearest mineralized interval, and potential for resource expansion.

Total of 85,215m of drilling identified with 12,700m in the priority. With the combination of multiple LiDAR products, a lineament map of the entire property was created. This data is to be used in both the 2D property geology map and the 3D geological model.

An Updated Property Geology Map was created, using the historical maps, lineament data, and additional drill data from previous Granada drill programs to fill in any gaps in the data. Geophysical In versions of Regional surveysys and Local Drone Surveys were created and will be important in the next steps of targeting to find drill targets for gold mineralization based on this Machine Learning (ML) process. The new 3-D geological model started with a Fault model, grouped into 3 orientations followed by afeldspar porphyry dyke model, and finally, a sedimentary rock model.

A mathematical model using gold intersections over 1 g/t was generated and trends around lithological contacts and faults were characterized.