Frontiers3d
High-Performance Graph Analytics: Bridging the Gap with Large Language Models
The interplay between graph analytics and large language models (LLMs) represents a promising frontier for advancing ...
Quanta Magazine3y
Researchers Build AI That Builds AI
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 ...
When AI gets on your nerves: Physiologists use neural networks to analyze function of ion channels
Deep neural networks will allow signal ... the speed of analysis using deep neural networks. The first step involves ...
Science Daily29d
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 ...