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 ...

This is a neural network, and you need to train a neural network, so where did [Paul] get all that data? roshambo.me offers thousands of paper rock scissor games, and trained the network on more ...

The researchers from Erlangen have now presented a method aimed at considerably increasing the speed of analysis using deep neural networks. The first step involves transforming the time series ...

In this study, we demonstrate that a neural network can learn to perform phase recovery and holographic image reconstruction after appropriate training. This deep learning-based approach provides ...

Co-fonder and CTO, Paul Masters, described a novel way to arrange the elements of a chip to do both machine learning "training" -- where the neural network is developed -- as well as "inference ...

DUBAI, United Arab Emirates, Jan. 30, 2025 (GLOBE NEWSWIRE) -- Klaus Agent, the AI-powered blockchain assistant, has officially integrated a custom DeepSeek model, making it one of the most ...