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 ...

Transformer models adapted from natural language processing, such as BERT, identify semantic flaws in code, including ...

Weave Network Topology Agent from Articul8 ingests network logs, configuration files, and traffic data and transforms it into ...

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

DPABINet, developed by Dr. Chao-Gan Yan’s team at the Institute of Psychology, Chinese Academy of Sciences, simplifies brain network analysis with a user-friendly, one-click software that ...

Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

However, a relatively new form of quantile regression is neural network quantile regression -- a variation of neural network regression. By using a custom loss function that penalizes low predictions ...