The machine-learning programs that underpin their ability to “see” still have blind spots—but not for much longer ...

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...

That problem is why, even though we’ve had success finding enzymes that break down common plastics like polyesters and PET, they’re only partial solutions to plastic waste. However, researchers aren’t ...

Using spatial transcriptomics and AI, researchers redefined the mouse brain’s geography, uncovering hundreds of new ...

Researchers create a photochromic fluorescent system that performs optical neural computing and visual output in one step, ...

Gibaldi and his colleagues have since analysed several open-access MOF databases commonly used for machine learning and found that more than 40% of the crystal structures in the databases contained ...

A tiny neural network is sufficient to control the daily rhythm of the fruit fly, Drosophila melanogaster. Researchers at the ...

This valuable study uses EEG and computational modeling to investigate hemispheric oscillatory asymmetries in unilateral spatial neglect. The work benefits from rare patient data and a careful ...