Machine-learning systems already shape ordinary parts of life, from spam filters to product recommendations and social media ...

A new review in Science China Life Sciences examines how machine learning and host-microbiome multi-omics can be combined to better understand health and disease. The article outlines the road from ...

Analysis of the 191 samples shows that 55 percent of groundwater falls within low to no restriction categories for irrigation ...

In an era defined by rapid AI adoption, securing software has become increasingly complex. As organizations integrate ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Published in Microplastics, the study titled “Canonical Spectral Transformation for Raman Spectra Enables High Accuracy AI Identification of Marine Microplastics” introduces a novel data processing ...

Conservation levels of gene expression abundance ratios are globally coordinated in cells, and cellular state changes under such biologically relevant stoichiometric constraints are readable as ...

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

Finally, another problem is class imbalance derived from basic and advanced transformations. To manage the resulting class imbalance, two further distinct balanced datasets are generated: i) one ...

Machine learning (ML) has emerged as a promising tool for tackling challenges in aquatic environmental research, especially ...