Machine learning is an integral part of high stakes decision making in a broad swath of human-computer interactions. You apply for a job. You submit a loan application. Algorithms determine who ...

Just as people from different countries speak different languages, AI models also create various internal "languages"—a ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

UNSW Sydney scientists are working to develop Australia's first commercialised lipid-based blood test for breast cancer detection powered by ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Psychological testing has evolved from Freud to AI and eye tracking. Technology adds depth, but theory and ethics must guide its use to ensure meaningful and equitable diagnoses.

I've been testing AI content detectors for two years now. They're getting more and more reliable. These are the ones you can ...

From forgotten neural networks to the deep learning boom and the shift from predictive to generative AI – here’s how machine ...

This paper presents a comprehensive performance analysis of various machine learning algorithms for the prediction of thyroid disease, considering both binary and multi-class classification scenarios.

Next-generation optical inspection is about more than just sensitivity. It’s about reliably seeing through complexity.

Image forgery is manipulating digital images to hide or change some useful information contained in the images. Images are considered the most effective way to convey information, and manipulating ...

A fully autonomous robot that can quickly and reliably test materials, boosting both speed and accuracy in self-driving labs.