Deep neural networks will allow signal transfer of nerve cells to be analyzed in real time in the future. That is the result of a study conducted by physiologists at Friedrich-Alexander-Universität ...

Learn More A new neural-network architecture developed by researchers at Google might solve one of the great challenges for large language models (LLMs): extending their memory at inference time ...

The interplay between graph analytics and large language models (LLMs) represents a promising frontier for advancing ...

Google transformed search by recognizing that the world wide web is not merely a collection of standalone pages but a vast network of interconnected knowledge—what we refer to as a graph of ...

What do you wonder? By The Learning Network A new collection of graphs, maps and charts organized by topic and type from our “What’s Going On in This Graph?” feature. By The Learning ...

A Stanford online high school student has developed ... The first real-world test for his AI-powered sensor network, called SensorRy AI, will come Monday when it is deployed near Irvine, California.

The testing that produced the paper was conducted while Willsey was a researcher at Stanford University ... their fingers and uses an artificial neural network to interpret what the intentions ...

Abstract: Graph Neural Networks (GNNs) have recently achieved significant success in processing non-Euclidean datasets, such as social and protein-protein interaction networks. However, these datasets ...

The dual-channel graph convolutional neural networks based on hybrid features jointly model the different features of networks, so that the features can learn each other and improve the performance of ...