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Yingjie Technology Applies for Patent on Graph Neural Network, Significantly Enhancing Multi-Robot Collaborative Scheduling Efficiency

Recently, Tianjin Yingjie Technology Development Co., Ltd. announced the application for a patent titled "An Optimization Method for Multi-Robot Collaborative Task Scheduling Based on Graph Neural ...
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Breakthrough AI tech targets zero-day attacks before hackers can strike

Transformer models adapted from natural language processing, such as BERT, identify semantic flaws in code, including ...
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Real-time, large-scale graph neural network inference through BingoCGN

BingoCGN employs cross-partition message quantization to summarize inter-partition message flow, which eliminates the need for irregular off-chip memory access and utilizes a fine-grained structured ...
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Network discovery gets a boost from Intel-spinout Articul8

Weave Network Topology Agent from Articul8 ingests network logs, configuration files, and traffic data and transforms it into ...
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Google’s New Graph Foundation Model Improves Precision By Up To 40X

Google published details of a new kind of AI based on graphs called a Graph Foundation Model (GFM) that generalizes to previously unseen graphs and delivers a three to forty times boost in precision ...
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DPABINet: a turn-key brain network and graph theory analysis platform based on MRI data

DPABINet, a sophisticated enhancement of the DPABI software suite, streamlines the intricate analysis of brain networks through fMRI data, providing researchers of all expertise levels with ...