Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.
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 ...
AI has unlocked a century of solar history from hand-drawn observations at Kodaikanal Solar Observatory. Researchers used ...
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 ...
This Collection supports and amplifies research related to SDG 9 - Industry, Innovation & Infrastructure. Discovering new materials with customizable and optimized properties, driven either by ...
Every AI model depends on labeled data. Data annotation is the process of tagging images, text, audio, or video so that ...
Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...
Atharv Kolhar, a staff test automation engineer at Figure AI, says the robotics industry needs a testing philosophy 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 ...
As humans, our eyes take in two-dimensional images our brains convert to three-dimensional experiences. This ability enables us to ...
Hundred years of Kodaikanal Solar Observatory records will throw light on the change in solar activity over time ...
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