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, ...

This study presents valuable findings by reanalyzing previously published MEG and ECoG datasets to challenge the predictive nature of pre-onset neural encoding effects. The evidence supporting the ...

How can AI be used to modernize environmental science and environmental management? This is what a recent study published in ...

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 ...

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

The study, titled “GenAI-Powered Framework for Reliable Sentiment Labeling in Drug Safety Monitoring,” published in Applied ...

A research team has developed a Gaussian Splatting processing platform that supports end-to-end processing from data acquisition to multi-platform rendering. Their framework provides a solid ...

What do LSD and Psilocybin have in common? A new study reveals a universal brain fingerprint for psychedelic drugs.

A new artificial intelligence method can describe changes in satellite images even when the images are rotated or spatially ...

Jasmine Plummer shares the spatial omics techniques she has developed to investigate the cellular processes underlying disease.

Enterprises face challenges in preparing data for generative AI due to data quality and accessibility issues. Gartner ...

A research team has developed a Gaussian Splatting processing platform that supports end-to-end processing from data acquisition to multi-platform ...