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 ...

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 ...

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

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 ...

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

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

The harder question now is supervisory: how can regulators see, interpret and supervise digital asset activity across users, ...

Since 2017, Iason Gabriel has worked at the tech giant, trying to anticipate – and think through – the impact of AI. But as commercial and geopolitical pressures escalate, can ethicists make any ...

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

BENGALURU: Artificial Intelligence has helped scientists unlock a century of the Sun’s history by analysing hand-drawn ...