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, ...

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).

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 ...

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 ...

Large-scale flow cytometry delivers critical biological insight by enabling multidimensional analysis of individual cells, making it fundamental to medical research. As assays evolve to capture more ...

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 ...

A UC Berkeley team used Apache Spark ML to predict airline delays at scale, training models on millions of flight records and ...

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

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