What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

Researchers from the University of Tokyo in collaboration with Aisin Corporation have demonstrated that universal scaling ...

This paper investigates the use of probabilistic neural networks (PNNs) to model aleatoric uncertainty, which refers to the inherent variability in the input-output relationships of a system, often ...

This review covers recent advances in artificial intelligence (AI) for aquatic species identification and conservation, ...

A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions of synthetic black hole data sets. Based on the network and data from ...

Confused by neural networks? This video breaks it all down in simple terms. Understand how they work and why they’re at the core of modern machine learning. #MachineLearning #NeuralNetworks # ...