Machine learning has moved past its initial experimental phase. In earlier years, development often focused on creating the ...

Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...

Methane is the second most important anthropogenic greenhouse gas after carbon dioxide, with a global warming potential roughly 28–34 times greater over a 100-year timescale. Major sources include ...

In this digitally dominated economy, where instantaneous transactions are the order of the day for all businesses, the landscape of accounting technology has li ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

A new tool that uses machine learning for drug discovery predicts how molecules will influence gene expression.

A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

As climate change intensifies harmful algal blooms worldwide, an international team led by Hiroshima University has developed ...

This study develops an ML-assisted approach for accelerating the discovery of HER electrocatalysts in multi-principal element ...