Daimler Truck uses graph technology to untangle its IT estate and gains long-lasting operational windfall - SiliconANGLE ...
Abstract: This paper presents LYRICEL, a framework integrating Knowledge Graph (KG) representation learning, Large Language Models (LLMs), and machine learning for reliable, explainable, and ...
Crucially, detection and response must be unified across identity and data layers. An alert about unusual data access is meaningless if it is not correlated with identity risk signals. Autonomous ...
In 2026, here's what you can expect from the AI industry: new architectures, smaller models, world models, reliable agents, ...
A decorated UVA engineer collects early-career honors for his leadership and contributions to the data mining field.
Accurate smartphone positioning in dense urban environments remains challenging due to signal blockage, multipath effects, and unreliable satellite visibility. This study presents a new positioning ...
The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), ...
A research team affiliated with UNIST has unveiled a novel AI system capable of grading and providing detailed feedback on ...
The rise of artificial intelligence has affected many facets of society, including education. Writer Abby Moore explores how ...
In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...
Researchers at Carnegie Mellon University hope an AI-driven speech reconstruction tool can bridge the gap between a growing ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback