Amazon Mechanical Turk shutdown ends 21 years of invisible labor that powered the AI training industry, as AWS closes the ...

We're shifting gears tremendously away from being just a policy shop. Policy work is extraordinarily important, but ...

That admission is what some in the field call recursive self-improvement (RSI), the point at which large language models ...

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 ...

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

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

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

It's an understatement that educators worry about students using AI to offload the cognitive struggle that is critical for learning. That worry is well founded.

Atharv Kolhar, a staff test automation engineer at Figure AI, says the robotics industry needs a testing philosophy that ...