Large Language Models

PDAC 2026 Technical Sessions outline how artificial intelligence and advanced geophysics are being applied in mineral exploration. The program includes an AI session covering computer vision, machine learning for structural modeling, and implementation considerations for large language models. Two geophysics sessions focus on integrated exploration case histories and newer methods, including magnetotellurics, inversion workflows, airborne geophysics analytics, and muon tomography. Regional technical sessions add examples from Latin America and brownfield exploration. Across the agenda, presentations emphasize multi-dataset interpretation, risk reduction, and operational constraints. The sessions collectively frame technology adoption as workflow-driven and incremental. This article summarizes sessions and key themes. [more]

AMD’s MI300 series, blending CPU, GPU, and memory, is poised to challenge Nvidia’s dominance in the AI accelerator market. AMD’s MI300 series of accelerators, introduces two distinct models to cater to diverse market needs and specifically targeting the AI and large language model (LLM) market. [more]