Building a better forest tree with CRISPR gene editing

Researchers at North Carolina State University used a CRISPR gene-editing system to breed poplar trees with reduced levels of lignin, the major barrier to sustainable production of wood fibers, while improving their wood ...

Using sparse data to predict lab quakes

A machine-learning approach developed for sparse data reliably predicts fault slip in laboratory earthquakes and could be key to predicting fault slip and potentially earthquakes in the field. The research by a Los Alamos ...

Machine learning unlocks plants' secrets

Plants are master chemists, and Michigan State University researchers have unlocked their secret of producing specialized metabolites.

How AI might speed up the discovery of new drugs

Artificial intelligence can generate poems and essays, create responsive game characters, analyze vast amounts of data and detect patterns that the human eye might miss. Imagine what AI could do for drug discovery, traditionally ...

AI model directly compares properties of potential new drugs

Biomedical engineers at Duke University have developed an AI platform that autonomously compares molecules and learns from their variations to anticipate property differences critical to discovering new pharmaceuticals. The ...

Gallium oxide crystal complexity tamed by machine learning

Researchers at the University of Liverpool, the University of Bristol, University College London (UCL), and Diamond Light Source have developed new understanding of gallium oxide by combining a machine-learning theoretical ...

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