The FTA further confirmed that, with the implementation of the new mechanism, carbonated drinks will no longer be classified ...

Explains when IT services qualify for 44AD or 44ADA, highlighting classification risk and compliance requirements under the “cash ≤ 5%” ...

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...

Vietnam’s Artificial Intelligence (AI) Law introduces one of the world’s first comprehensive AI regulatory frameworks, ...

Scientists organize millions of proteins by shape, as predicted by AI, revealing 700,000 new families and some shapes unique ...

This article talks about how Large Language Models (LLMs) delve into their technical foundations, architectures, and uses in ...

Scanners Are Often Inaccurate – Different tools (like Qualys, Tenable, Rapid7) have varying detection capabilities, false ...

Gilbert police denied Friday allegations that the department covered up crime data to make the town appear safer.

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

IIT Bombay’s new deep learning framework, named SpADANet, enhances damage classification accuracy using limited labels across ...

Nigeria faces enormous public service challenges from traffic congestion in high urbanised areas to insecurity, healthcare delays, and inconsistent public planning. But with the right use of ...

Abstract: As one of the core tasks in vision recognition, image classification is widely used in various scenarios. Most existing mainstream image classification models use the Convolutional Neural ...