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 ...
A decorated UVA engineer collects early-career honors for his leadership and contributions to the data mining field.
The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), ...
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 ...
AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...
Morning Overview on MSN
AI helped uncover a promising new superconducting material
Superconductors sit at the heart of some of the most ambitious technologies on the horizon, from lossless power grids to ...
See how AI and machine learning are transforming people search accuracy. Learn how ML improves precision and recall, powers ...
Graph Neural Networks (GNNs) are reshaping AI by enhancing data interpretation and improving applications. Learn how GNNs are crucial in advancing machine learning models. Graph Neural Networks (GNNs) ...
Abstract: This paper presents LYRICEL, a framework integrating Knowledge Graph (KG) representation learning, Large Language Models (LLMs), and machine learning for reliable, explainable, and ...
Introduction: Adolescent suicide is a critical public health concern worldwide, necessitating effective methods for early detection of high suicidal ideation. Traditional detection methods, such as ...
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