Read more about AI and machine learning drive digital transformation across global mining operations on Devdiscourse ...

What’s the first thing you think of when you hear about ai security threats and vulnerabilities? If you’re like most people, your mind probably jumps to Large Language Model (LLM) ...

One of the minds behind an AI-powered decision review system being trialled in Darwin this winter believes the technology has the power to “revolutionise grassroots cricket”. In a groundbreaking move ...

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...

South Korea's NTS develops AI-powered system to monitor crypto transactions and detect tax evasion ahead of January 2027 ...

An autonomous platform uses machine learning and patterned light to detect and terminate cardiac arrhythmias in real time without electrical shocks.

A machine learning-driven framework accurately predicts MPA exposure and supports individualized dosing in childhood-onset LN.

Scientists develop a blood test that detects Alzheimer’s by measuring protein structural changes rather than protein quantity.

Intramolecular charge transfer (ICT) is one of the most important photophysical mechanisms in organic fluorophores. Among ICT processes, TICT ...

Dr. Melanie Campbell and graduate student Lyndsy Acheson study an image of a retina. They are looking for protein deposits found in association with brain diseases, such as Alzheimer's, FTLD-TDP and ...