The initial phase of VRIFY's collaboration is focusing on Comet Lithium's 100%-owned Liberty lithium property, and the initial targets generated to date by VRIFY will be presented by Comet Lithium and VRIFY on
VRIFY's artificial intelligence ("AI") targeting system uses a combination of deep learning and computer vision architectures to train predictive models with data from various exploration features like drillholes, rock geochemistry, and mineral occurrences. The approach leverages complex data relationships to predict mineral exploration targets, streamlining the process of identifying viable mineral deposits. The automation of target generation will allow the trained model to be updated quickly with new data from ongoing exploration work. By using locally trained models, VRIFY will be able to deliver prediction accuracy metrics and feature importance maps, giving true insight into exploration vectors.
The VRIFY modeling is conducted by compiling the exploration data into a gridded data space. Feature engineering steps include, geophysical standard filtering such as vertical derivatives ("FVD"), tilt angle (tilt) and other Fourier filtering. Geological information from outcrops is used to generate a probabilistic lithological map and geochemical data is interpolated using a random forest regression process. The feature engineering process is validated using statistical evaluation of the products together with visual validation. All exploration features are then compiled as entry to the VRIFY targeting algorithm. Learning examples are derived from known mineralized samples established from drillholes, surface sampling, etc.
The available learning data points are separated between training and validation sets in order to train and test the algorithm. This allows VRIFY to evaluate the performance metrics associated with the predictive modeling.
Comet Lithium is a dynamic lithium-focused exploration company active in the prolific
This news release contains statements that may constitute "forward-looking information" within the meaning of applicable Canadian securities legislation. Forward-looking information may include, among others, statements regarding the future plans, costs, objectives or performance of Comet Lithium, or the assumptions underlying any of the foregoing. In this news release, words such as "may", "would", "could", "will", "likely", "believe", "expect", "anticipate", "intend", "plan", "estimate" and similar words and the negative form thereof are used to identify forward-looking statements. Forward-looking statements should not be read as guarantees of future performance or results, and will not necessarily be accurate indications of whether, or the times at or by which, such future performance will be achieved. No assurance can be given that any events anticipated by the forward-looking information will transpire or occur, including the additional interpretation of the new targets generated by VRIFY's; if any of the planned exploration programs, including any follow-up works to test any of the targets generated by VRIFY's machine learning tool will occur, the timing of and results of such exploration programs, if it does so, what benefits Comet Lithium will derive from any such exploration programs,. Forward-looking information is based on information available at the time and/or management's good-faith belief with respect to future events and are subject to known or unknown risks, uncertainties, assumptions and other unpredictable factors, many of which are beyond Comet Lithium's control. These risks, uncertainties and assumptions include, but are not limited to the risks, uncertainties and assumptions described under "Financial Instruments" and "Risk and Uncertainties" in Comet Lithium's Annual Report for the fiscal year ended
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