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 ...

Read more about Deep learning and AI unlock new era of solar energy forecasting and performance on Devdiscourse ...

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 ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the ...

Dr. Christoph Wenge, another research scientist at Fraunhofer IFF, said, “The widest array of faults can occur in the solar ...

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

Visualization, Dimensionality Reduction, Reproducibility, Stability, Multivariate Quantum Data, Information Retrieval ...

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

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...