Researchers have developed a graph-based expert system that improves the accuracy and prediction stability of automated bank ...
We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...
Abstract: Graph model generation from natural language requirements is an essential task in software engineering, for which large language models (LLMs) have become increasingly popular. A key ...
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 ...
ABSTRACT: This paper aims to investigate the effectiveness of logistic regression and discriminant analysis in predicting diabetes in patients using a diabetes dataset. Additionally, the paper ...
Nvidia Corp. announced today that it’s expanding its offerings of smarter AI models, physical intelligence for robotics and powerful enterprise AI servers. Leading the news at the ACM SIGGRAPH 2025 ...
Using "model": "anthropic/claude-3-7-sonnet-latest", I got a warning message saying I needed to specify model_tokens. Then, when I did specify model_tokens, I got an ...
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 ...
A new intelligent fault diagnosis framework for CNC systems, based on LLMS and KG, has been proposed by researchers from Huazhong University of Science and Technology, Center for Strategic Studies of ...
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