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 ...

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 ...

The company says it has upgraded the cutting geometry, drive configurations and machine architecture of its tire recycling ...

Nanosilican Advanced Materials will participate in ‘BIO KOREA 2026,’ which will be held from April 28 to 30 at COEX in ...

Those gains point to a broader realignment toward infrastructure built for emerging AI workloads, particularly agentic ...

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

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 ...

Seegene, a global molecular diagnostics company, announced that it introduced STAgora™, a real-time data analytics platform ...

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

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

Cross Wrap says its automated bale dewiring product is improving efficiency and safety at the Sweden-based textile recycling ...