Abstract: This paper presents LYRICEL, a framework integrating Knowledge Graph (KG) representation learning, Large Language Models (LLMs), and machine learning for reliable, explainable, and ...
When Haley Chura was training to qualify for the 2020 Olympic Marathon Trials, she was running “a lot,” around 70 miles a week. Also a pro triathlete, she realized she was training far fewer hours ...
ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
DeepTempo’s Tempo platform, built on purpose-built LogLM technology, joins forces with Cribl to help defenders outpace zero-click, polymorphic, and agentic AI-powered attacks DeepTempo, a pioneer in ...
The exponential growth of digital financial services has created unprecedented challenges in fraud prevention and identity verification. Traditional rule-based systems struggle to keep pace with ...
Abstract: Feature representation is a key factor in machine learning-based malware detection, affecting the information expressed and used for detection, the choice of the classifier, and ...
Linux has long been the backbone of artificial intelligence, machine learning, and data science. Its open-source foundation, flexibility, and strong developer community make it the preferred operating ...
The intense, physical nature of the Detroit Lions in training camp is going a long way toward preparing them for a tough slate of games in 2025, according to Taylor Decker. The Lions wrapped up their ...
Human-caused global warming has been increasing faster and faster since the 1970s. Global average temperature compared with the middle of the 20th century 2010 to present +1.0°C 1970 to The world is ...