2 papers
cs.AI2026
Beyond State-of-the-Art: Standardising Environmental Impact Metrics for AI Research
Lachlan McGinness, Dan Pagendam, Robert Offner
As the capabilities and ubiquity of Large Language Models (LLMs) grow, so does their environmental footprint. Despite calls for responsible AI, the machine learning community lacks…
stat.AP2024
CQUESST: A dynamical stochastic framework for predicting soil-carbon sequestration
Dan Pagendam, Jeff Baldock, David Clifford +5
A statistical framework we call CQUESST (Carbon Quantification and Uncertainty from Evolutionary Soil STochastics), which models carbon sequestration and cycling in soils, is appli…