ARTIFICIAL INTELLIGENCE IN GEOLOGICAL RESEARCH: EFFICIENCY, SCIENTIFIC RELIABILITY AND PRACTICAL APPLICATIONS

In geological research, analyzing large volumes of data with complex structures requires significant time and resources using traditional methods. The rapid development of digital technologies and artificial intelligence is creating new opportunities to address this challenge. This article examines the effectiveness and limitations of applying data-driven models based on artificial intelligence for processing geological, geochemical, petrographic, and structural data