Abstract: This paper investigates a GraphRAG framework that integrates knowledge graphs into the Retrieval-Augmented Generation (RAG) architecture to enhance networking applications. While RAG has ...
Abstract: Computing latency is an important system metric for Deep Neural Networks (DNNs) accelerators. To reduce latency, this work proposes LV, a latency-versatile floating-point engine (FP-PE), ...
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At first glance, it’d be easy to mistake one of HP’s newest computers for something else. That’s because the HP EliteBoard G1a looks almost exactly like a normal PC keyboard. Measuring 358 x 118 x ...
Abstract: Space-air-ground integrated networks (SAGINs) face unprecedented security challenges due to their inherent characteristics, such as multidimensional heterogeneity and dynamic topologies.
Abstract: Intramedullary nailing is frequently utilized in the treatment of femoral shaft fractures. However, an incorrect entry point will result in poor reduction of the shattered bones. Furthermore ...
Abstract: Yield volume estimation is the integral part of modern farming. While classical model-based approaches are already well-developed, in the recent years neural network-based end-to-end methods ...
Abstract: We present CO-Net++, a cohesive framework that optimizes multiple point cloud tasks collectively across heterogeneous dataset domains with a two-stage feature rectification strategy. The ...
“Point Break” is smacking the lip once more, as AMC Networks is developing a TV adaptation of the 1991 surf action flick, Variety has confirmed. The series is set in 2026, 35 years after the events of ...
Abstract: The self-attention (SA) network revisits the essence of data and has achieved remarkable results in text processing and image analysis. SA is conceptualized as a set operator that is ...
Abstract: As a fundamental problem in computer vision, point cloud registration aims to seek the optimal transformation for aligning a pair of point clouds. In most existing methods, the information ...
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