Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...

Successful implementation requires modern healthcare infrastructure, including reliable electricity, high-speed internet ...

A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Machine learning is becoming a key tool in food production, reshaping how food is processed, preserved, monitored, and delivered across global supply chains. Climate volatility, rising energy costs, ...

Worldwide Flight Services (WFS), a SATS company, has developed a new machine learning-based forecasting tool designed to improve the accuracy of air cargo volume predictions and better align workforce ...

TTC OPERATED BY ENSCO, RAILWAY AGE OCTOBER 2025 ISSUE: Trespassing along a rail corridor remains one of the most important and challenging issues that railroad operators face every day. Trespassing on ...

Abstract: This paper focuses on the application of distributed machine learning algorithms in the construction of visual knowledge graphs, delves deeply into the design principles of visual knowledge ...

ABSTRACT: To effectively evaluate a system that performs operations on UML class diagrams, it is essential to cover a large variety of different types of diagrams. The coverage of the diagram space ...

Abstract: The development of new technologies, causing an immense increase in the amount of data transmitted through the backbone infrastructure, triggers the growing need for new, effective ...

Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...