A proteomics data pipeline transforms raw mass spectrometry spectra into biologically interpretable protein-level ...

BEIJING, Feb. 25 (Xinhua) -- A Chinese research team has developed an artificial intelligence (AI) model called SpecCLIP, which can interpret stellar spectral data from different telescopes, ...

A new analytical transmission model incorporating pressure-dependent opacity improves interpretation of exoplanet atmospheres and supports data analysis from JWST and the upcoming ARIEL mission.

The process of protein identification typically begins with a bottom-up approach, where proteins are enzymatically digested—most commonly with trypsin—into smaller peptides. These peptides are ...

Advances in FTIR instrumentation support quantitative industrial analysis.

A new review highlights how machine learning is transforming the way scientists detect and measure organic pollutants in the ...

Understanding what complex chemical measurements reveal about materials and reactions can take weeks or months of analysis. But now, an AI-powered platform developed by researchers at the Department ...

Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...

A new review highlights how machine learning is transforming the way scientists detect and measure organic pollutants in the environment, offering ...

What shall we do with a comet that is seen in a telescope, but is like no comet made in the neighbourhood of the Sun? The ...

Astronomers have unveiled one of the most ambitious maps yet of the early universe, revealing a vast "sea of light" between ...

Much of our understanding of Earth's past is derived from stratigraphic records exposed in rock outcrops or recovered from drilled cores. These records span immense time intervals, from thousands to ...