The core argument of the paper is that what counts as misinformation is not an objective fact but a relative judgment ...

"Machine learning algorithms can label data much faster than human annotation, significantly improving efficiency. Our method represents a major advancement in fraud detection, especially in ...

Machine learning (ML) and deep learning (DL) algorithms now enable robust, non-invasive authentication. Tools such as ...

Postpartum depression (PPD) affects up to 15% of individuals after childbirth. Early identification of patients at risk of ...

Today, attackers can manipulate some machine learning models by feeding them misleading data to evade detection. It is common for ML models to generate false positives or false negatives.

If you plan to use machine learning for research, consider ChatGPT’s shortcomings and inquire about AI tools’ training data ...

Postpartum depression (PPD) affects up to 15 percent of individuals after childbirth. Early identification of patients at risk of PPD could improve proactive mental health support.

Researchers from Rice University (TX, USA) have developed a new machine learning algorithm that interprets optical spectra of molecules, materials and disease biomarkers in biological samples, ...