Fraud detection is defined by a structural imbalance that has long challenged data-driven systems. Fraudulent transactions typically account for a fraction of a percent of total transaction volume, ...

As artificial intelligence adoption grows across sectors, professionals who build expertise in machine learning and ...

Assessment reform, as the study notes, is essential. Rather than banning AI outright, which the authors argue is neither realistic nor effective, medical education systems must redesign evaluations to ...

Bairong Inc. (the "Company", "we" , "us" or "our" ; HKEX: 6608), a leading cloud-based AI turnkey service provider, ...

What is supervised learning and how does it work? In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine learning.

From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

In practice, enterprises that embrace provenance transform uncertainty into clarity. They gain the ability to not only ...

Large language models (LLMs) such as GPT and Llama are driving exceptional innovations in AI, but research aimed at improving ...

Ibegbulem Alexander did not earn the moniker “chairman” by presiding over the affairs of any of Nigeria’s 774 local ...