Tag: Machine learning

Researchers at Anna University have developed TextSummNet, a two-stage AI system that combines extractive filtering with transformer-based abstractive generation to ...

A sweeping new review in the Journal of Materials Science shows how synchrotron light, neutron scattering, advanced microscopy, molecular simulation, ...

A systematic review of 108 studies charts how machine learning transformed bioacoustics over two decades, finding that deep learning now ...

A two-center study shows that radiomic analysis of MR cytometry parameter maps outperforms mean-value-based diffusion MRI metrics for distinguishing benign ...

Researchers used monotonic neural networks to show that designing residential water systems at the 98th rather than the 99th percentile ...

A two-center Chinese study shows that a machine learning model combining radiomics features from ultrasound and DCE MRI can non-invasively ...

Kyoto University researchers used machine learning to design a six-bacterium microbial community that significantly boosted tomato growth and high-temperature tolerance ...

Tohoku University researchers propose a framework called Physics-Grounded Materials AI that embeds thermodynamic, kinetic, and electronic-structure principles into machine learning ...

Researchers at Central South University have developed an interpretable machine learning framework that fuses spatial and temporal process data to ...

A new graph-based framework translates RNA sequences into physicochemical interaction graphs, delivering interpretable subcellular localization predictions with just 2.05 million ...