Nature

A robust and resilience machine learning for forecasting agri-food production

Considering hard and complex conditions for predicting resilience against disruption. This section examines the simple model for forecasting using ML. Simple models only utilize one method to predict ...
Nature

Advanced predictive modeling of municipal solid waste management using robust machine learning

The rapid urbanization and technological advancements witnessed over recent decades have fundamentally reshaped the landscape of municipal solid waste management (MSWM) 1. As cities expand, the volume ...
Eos

Machine Learning Rediscovers Equations Governing Ocean Biogeochemistry

Researchers used a process called symbolic regression to derive the equations from a biogeochemical model of the ocean.
Phys.org

Ultra‑robust machine‑learning models run stable molecular simulations at extreme temperatures

Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular simulations for unprecedented lengths of time, even at temperatures as high as ...