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 ...

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

Originally created by Meta, PyTorch has become an important tool for machine learning and people developing AI models.

Researchers developed MARBLE, a geometric deep learning method that identifies shared brain activity patterns across ...

Researchers from University College London have developed a new AI-based brain signal decoding model that could improve how people with types of motor neurone diseases like amyotrophic lateral ...

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 ...