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Graph neural networks show promise for detecting money laundering and collusion in transaction websA review by researchers at Tongji University and the University of Technology Sydney published in Frontiers of Computer Science, highlights the powerful role of graph neural networks (GNNs ...
Snowflake provides a popular cloud data platform that companies use to store, analyze and visualize their data. Customers can ...
A research team from Skoltech, AIRI, Tomsk Polytechnic University, and Sber has proposed and tested an approach to predicting ...
Discover the 20 best neural network software ... it provides a dynamic computational framework, allowing artificial intelligence developers to define and run computational graphs on the fly ...
Reinforcement Learning, an artificial intelligence approach ... Adapting Convolutional Neural Networks to Interpret Graph Data In a second NeurIPS publication presented on the same day, Dr ...
But now a new battery material has been discovered by combining two computing superpowers: artificial intelligence ... is a type known as a graph neural network, in which a system is represented ...
The term “artificial intelligence” dates back to the mid-1950s, when mathematician John McCarthy, widely recognized as the father of AI, used it to describe machines that do things people might call ...
Artificial intelligence uses machines -- generally ... The efficiency of machine learning generally depends on the algorithm. Neural networks are computer systems designed to imitate the neurons ...
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