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) ...

Facing strict privacy laws, telcos use AI-generated synthetic data as a compliant workaround to train ML models without exposing sensitive customer information.

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

Researchers at Academia Sinica and National Taiwan University Hospital have developed an AI-powered blood test that detects early-stage pancreatic cancer with near-perfect accuracy in validation ...

The entry of cloud technology in the software world has fundamentally changed how software is built, deployed, and scaled. Traditionally, applications were released only once or twice a year. Today, ...

A machine learning-driven eNose detects ovarian cancer in blood plasma with 97 % sensitivity and specificity, offering a promising biomarker-agnostic approach.

Background Preprocedural risk prediction of 30-day all-cause mortality after percutaneous coronary intervention (PCI) aids in clinical decision-making and benchmarking hospital performance. This study ...

Laid-off lawyers, history P h D s, and scientists are now part of a miserable gig economy in which they’re teaching AI how to ...

An AI agent reads its own source code, forms a hypothesis for improvement (such as changing a learning rate or an architecture depth), modifies the code, runs the experiment, and evaluates the results ...

This study presents valuable findings for identifying biotypes of depression patients using white matter measures, which are under-utilised and under-appreciated in current biological and ...

Explore how proteomics in biomarker discovery accelerates diagnostic assay development and improves clinical validation.