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, ...

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 ...

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 ...

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

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

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

The results show that the Decision Tree model emerged as the top-performing algorithm, achieving an accuracy rate of 99.36 percent. Random Forest followed closely with 99.27 percent accuracy, while ...

BackgroundFluorescence microscopy is an indispensable tool for observing cellular dynamics and internal structures. To reduce photobleaching and ...

Learn how laser, eddy and other displacement sensors work and how they plug into IIoT PdM systems. They’re game changers on ...

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

Artificial intelligence is poised to transform medical imaging, promising faster diagnoses and greater accuracy.

Running a single physics simulation can take hours or days, depending on the complexity of the geometry and the equations ...