A new academic study argues that the structural reliance of artificial intelligence (AI) systems on classification models creates significant challenges when AI systems attempt to represent fluid and ...

A comprehensive invited review published today in Brain Medicine confronts one of the most persistent paradoxes in modern medicine: psychiatry remains the only major clinical discipline that diagnoses ...

Researchers from South Korea improved solar panel dust detection by using SMOTE and stable diffusion (SD) augmentation, with SD boosting detection accuracy from 76.5% to 98.9% while preserving spatial ...

The US Environmental Protection Agency has a detailed facilities database — and environmental journalists who want to fortify ...

How Can Non-Human Identities Transform AI-Driven Cloud Security? Have you ever pondered the pivotal role machine identities, or Non-Human Identities (NHIs), play in enhancing AI-driven cloud security ...

While ultra-processed foods are often tied to health issues, a decade-long study suggests they do not speed up cognitive ...

Anthropic paper’s empirical core comes from a much narrower source than its title suggests. As result, it should not be read as a measure of AI’s labor-market impacts.

AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at ...

Cambridge researchers map the convergence of biomarkers, digital phenotyping, and AI toward biologically grounded ...

Systematic human inspection of the millions of source cutouts in the Hubble Legacy Archive is impossible – but artificial ...

Python fits into quantitative and algorithmic trading education because it connects ideas with implementation. It removes ...

This comment explores how young workers are matched to firms in local labour markets in England, using the Longitudinal ...