The issue of 'hallucinations' in large language models (LLMs) has always been a core obstacle to their widespread application ...

Exploring the intersection of AI and consciousness through the lens of chatbots, raising ethical implications and future ...

Water utilities that are confronting compounding challenge can turn to technical tools that bring measurable results.

This demonstrated that machines do not need to be conscious to change us. They only need to seem so. If a basic script could persuade people to disclose their innermost worries and secrets, it should ...

Can Machine Learning Help Prevent Local Crime? Public safety has always been one of society’s most urgent priorities. From ...

Image preprocessing is the first step in OCR technology, aimed at improving image quality to create favorable conditions for subsequent character recognition. Vehicle document images may be affected ...

Researchers adapt model predictive control from engineering to epidemic response, balancing health and economic costs under ...

Context, not content, now drives AI visibility, making structured data the strategic data layer every enterprise must ...

When it comes to large language models, even with temperature settings minimized, subtle variations in context formatting can ...

Sethupathy, U. (2025) Risk-Aware AI Models for Financial Fraud Detection: Scalable Inference from Big Transactional Data.

Background SLE is an autoimmune disease that varies across ethnic populations and the regions that cause economic burdens, but nationwide epidemiological data for Thailand are lacking.Objective To ...