mining

This paper proposes a POMDP framework for multi-objective decision making in lithium production, addressing geological, demand, and pricing uncertainties to optimize mine opening and extraction method selection. The approach outperforms human-inspired heuristics by dynamically adapting to shifting price regimes through belief state planning.

An opinion piece argues that AI and automation cannot solve resource inflation and declining ore grades, criticizing the belief that technology alone will create abundance without breakthroughs in material science.

An earthquake in Chile disrupting copper production highlights the vulnerability of AI infrastructure to raw material supply shocks, as copper is critical for data centers and grid expansion.

The article explains how to use Bayesian modeling with Gaussian processes to handle spatial data where the coordinates are observed with error, using a dataset of uranium and vanadium concentrations from Walker Lake as an example.