Graph Neural Networks (GNNs) and GraphRAG don’t “reason”—they navigate complex, open-world financial graphs with traceable, ...
Microsoft Corp. today is expanding its Fabric data platform with the addition of native graph database and geospatial mapping ...
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 ...
Recently, Zhongzhexin Technology Consulting Co., Ltd. applied for a patent titled "An AI-based Method and System for Identifying Production Risk Hazards in Enterprises," indicating the deep ...
A technical paper titled “Accelerating Defect Predictions in Semiconductors Using Graph Neural Networks” was published by researchers at Purdue University, Indian Institute of Technology (IIT) Madras, ...
A high-performance AI framework enhances anomaly detection in industrial systems using optimized Graph Deviation Networks and graph attention ...
A new AI Drug Discovery tool called PDGrapher can predict more accurate drug combinations up to 25 times faster than previous ...
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RoboBallet system enables robotic arms to work together like a well-choreographed dance
Scientists at UCL, Google DeepMind and Intrinsic have developed a powerful new AI algorithm that enables large sets of ...
Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...
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