Graph Neural Networks (GNNs) and GraphRAG don’t “reason”—they navigate complex, open-world financial graphs with traceable, ...

Glean Assistant can personalize its prompt responses more extensively than before. According to Glean, the underlying AI ...

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 ...

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, ...

Microsoft Corp. today is expanding its Fabric data platform with the addition of native graph database and geospatial mapping ...

Recently, Xiamen Yunque Zhilian Technology Co., Ltd. applied for a patent titled "An Intelligent Writing Support Method and ...

Scientists at UCL, Google DeepMind and Intrinsic have developed a powerful new AI algorithm that enables large sets of robotic arms to work together faster and smarter in busy industrial settings, ...

The core of this patent lies in its intelligent writing method based on semantic graphs. At the initial stage of writing, the system first determines the user's writing intention and context, ...

This paper proposes a deep learning framework F-GCN that integrates multiple wavelet bases, and extracts MI brain electrical ...

Artificial digital neural network concept. Neural network software enables the implementation, deployment and training of artificial neural networks. These networks are designed to mimic the behavior ...