Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...

A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

People who walked roughly 9,000 steps a day cut their risk of early death by about 39% compared with the least active adults, ...

As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...

CareNX Innovations combines medical-grade hardware with intelligent software to make fetal monitoring accessible, scalable, ...

Hundred years of Kodaikanal Solar Observatory records will throw light on the change in solar activity over time ...

India, July 1 -- Artificial Intelligence has been used to trace the shift in magnetically active patches on the Sun from 1916 to 2007 by scanning 100 years of hand-drawn Sun records from the ...

AI has unlocked a century of solar history from hand-drawn observations at Kodaikanal Solar Observatory. Researchers used ...

Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...

Every AI model depends on labeled data. Data annotation is the process of tagging images, text, audio, or video so that ...

The premise is straightforward — we are awash in biological data. The rapid growth of multiomics datasets (genomics, transcriptomics, proteomics, metabolomics, and radiomics) together with ...