Such networks, known to mathematicians as graphs, are made up of nodes connected by edges. On a football pitch, each player ...

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

The mathematics behind artificial intelligence (AI) and machine learning (ML) rely on linear algebra, calculus, probability, ...

They designed what they called a graph hypernetwork (GHN) to find the best deep neural network architecture to solve some task, given a set of candidate architectures. The name outlines their approach ...

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 ...