Sharing chemical knowledge between human and machine

Researchers from the University of Jena, the Westphalian University of Applied Sciences and the University of Chemistry and Technology Prague have developed a platform that uses artificial neural networks to translate chemical ...

Team develops a solution for temporal asymmetry

Life, from the perspective of thermodynamics, is a system out of equilibrium, resisting tendencies towards increasing their levels of disorder. In such a state, the dynamics are irreversible over time. This link between the ...

Using machine learning to estimate stellar ages

Researchers from Keele University have developed a machine learning technique that helps astronomers better estimate the ages of stars from the chemicals within their atmospheres. The new research will be presented at the ...

A tailored and rapid approach for ozonation catalyst design

In a new study published in the journal Environmental Science and Ecotechnology, researchers from the Chinese Research Academy of Environment Sciences have employed machine learning, specifically the artificial neural network ...

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