Macrotrends to Watch Out for in the AI Exploration Space
Explore macrotrends in AI for mineral exploration, from multimodal models and foundation models to uncertainty-driven exploration and AI-powered discovery.
All
AI 69
Geology 26
Benchmarking 24
Machine Learning 16
Evaluation 12
Agentic AI 10
Open Source 9
Reinforcement Learning 5
China 4
Complexity Theory 3
Geology
Geological Map Processing Suite
Geological map processing for AI agents: Stratigraphic Amenity turns Microsoft PEACE into a Python SDK and MCP server for layout, georeferencing and overlays.
Groundtruth Dynamic Benchmarking (Geology Edition) v1.0.0 Is Live
Groundtruth Dynamic Benchmarking v1.0.0: a pipeline that builds benchmark questions and rubrics for any corpus, with a runnable geology example.
Ground Truth: Dynamic Benchmarking in Highly Specific Fields
Explore dynamic benchmarking in highly specific fields to measure knowledge acquisition, evaluate fine-tuned models, and benchmark models on custom corpora.
Dynamic Benchmarking: How We Did It
Fine-tuned model evaluation that separates learned geology from memorised training data: how we built the benchmark, and the five problems we hit.
Meet the Geocluster Research Harness
The Geocluster Research Harness, open-sourced: a browser IDE with a geology AI agent and 50+ geoscience tools, built on Cline and a local MCP server.