By Jeffrey A. Newman Esq.
Artificial intelligence is now being successfully to find gold deposits. AI systems analyze satellite imagery and sirborne surveys to spot structural changes associated with gold deposits. In addition, the computer systems are digesting vast amounts of information about soil and rock assays and information about historical deposits, geology maps, that reduce the search areas allowing for swifter finds. The results have been significant.
In 2021 Northstar Gold Corp reported the advancement of mining strategies in the exploration of the Miller Gold Property in Northeastern Ontariowhere they found eight new gold spot discoveries by using the machine learning clustering method and 3D mapping technologies, which were beyond their expectation. The discoveries were made by applying machine learning methodologies to data from previously known gold zones. Earth AI has applied its proprietary predictive models across state‑scale remote‑sensing and exploration datasets, then drilled a cluster of AI‑ranked targets, discovering a new gold desposit with economic grades around 1.14 g/t.
AI‑driven explorers such as Earth AI and others use these kinds of remote‑sensing layers as key inputs into their Mineral Targeting Platforms for projects in New South Wales, the Northern Territory, and other Australian districts, though the “gold” signal is inferred through alteration and structure, not directly observed metal.
Commercial platforms (e.g., VRIFY’s DORA) ingest terabytes of legacy drilling, mapping, geophysics, and geochemistry to automatically identify features correlated with gold mineralization and then rank targets within a land package. Equinox Gold recently reported a new AI‑supported gold discovery at the Minotaur Zone near its Valentine project, using DORA to integrate geochemistry, geophysics, and structural data and elevate Minotaur to a top‑tier target before the first drill program. DORA is VRIFY’s AI-assisted mineral discovery platform that Equinox Gold plugged into its Valentine dataset so the system could learn patterns associated with gold and then rank specific zones (like Minotaur) by prospectivity. Equinox’s geologists use their project knowledge to refine or veto AI‑generated targets and then rerun models; DORA is explicitly designed to be transparent and customizable rather than a black box.
Jeffrey Newman, JD MBA, is a whistleblower lawyer whose national firm in Boston represents whistleblowers of violations of export controls, tariff evasions, money laundering, healthcare fraud and other kinds of WB cases. The firm represents individuals both in the United States and from other countries. Mr. Newman and his firm staff also represent physicians who become whistleblowers in major healthcare fraud cases. Whistleblower laws in the U.S. allow individuals anywhere with information about export control violations or tariff fraud to reveal the information under The False Claims act or through the Securities and Exchange Commission’s Whistleblower Program. The Firm’s website is at www.JeffNewmanLaw.com and attorney Newman can be reached at Jeff@Jeffnewmanlaw.com or at 978-880-4758. FOR OTHER ARTICLES LIKE THIS and WHISTLEBLOWER INFO PLEASE SEE http://JeffNewmanLaw.com
