Inc. ("a.s.ist") leverages research expertise cultivated at The University of Tokyo to drive digital transformation (DX) in manufacturing through white-box AI.

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 ...

Due to the explosive growth of artificial intelligence, it is estimated that data centers will consume up to 12% of total U.S ...

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 ...

A proteomics study shows that untreated HIV accelerates biological aging by ~10 years, but antiretroviral therapy can reverse ...

A new review in Science China Life Sciences examines how machine learning and host-microbiome multi-omics can be combined to better understand health and disease. The article outlines the road from ...

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

Due to the explosive growth of artificial intelligence, it is estimated that data centers will consume up to 12 percent of ...

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

This valuable study addressed a key question in epilepsy research: whether the recordings of very fast oscillations in the brain (>250Hz, fast ripples) reflect underlying pathology or might be a ...

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