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

Abstract: Deep learning-based techniques have emerged as powerful tools for fault diagnosis. However, conventional deep learning methods require designing and training fault diagnosis models from ...

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.

As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability ...

ENVIRONMENT: An Investment company is searching for a talented and driven Data Scientist to join their innovative and growing team based in Durbanville, Cape Town. This is an exciting opportunity to ...

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 ...

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

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

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...