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

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 ...

On Wednesday, Jelani Nelson, a professor of theoretical computer science and chair of UC Berkeley's electrical engineering and computer science division, announced he was taking a leave of absence to ...

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

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

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

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

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

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

Final results from the CNS-101 study, published in Frontiers in Digital Health, show that the NeuLogiq Platform can be used ...

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 ...