Tech Xplore on MSN4d
Transforming how AI systems perceive human hands
Making Artificial Intelligence systems robustly perceive humans remains one of the most intricate challenges in computer ...
Science Daily4d
Synchronization in neural nets: Mathematical insight into neuron readout drives significant improvements in prediction accuracy
Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...
Tech Xplore on MSN5d
Mathematical insight into neuron readout drives significant improvements in neural net prediction accuracy
Reservoir computing (RC) is a powerful machine learning module designed to handle tasks involving time-based or sequential ...
GitHub9h
Multilevel Graph Matching Networks for Deep Graph Similarity Learning
MGMN consists of a node-graph matching network for effectively learning cross-level interactions between each node of one graph and the other whole graph, and a siamese graph neural network to learn ...
The New York Times5d
What's Going On in This Graph?
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 Network Want to learn ...
GitHub6d
graph-neural-networks
Python package built to ease deep learning on graph, on top of existing DL frameworks.