Recent advances in deep learning have promoted EEG decoding for BCI systems, but data sparsity—caused by high costs of EEG collection and ...

Dr. James McCaffrey of Microsoft Research kicks off a four-part series on multi-class classification, designed to predict a value that can be one of three or more possible discrete values. The goal of ...

Generating synthetic data is useful when you have imbalanced training data for a particular class, for example, generating synthetic females in a dataset of employees that has many males but few ...

Researchers have discovered a critical flaw in PyTorch’s distributed RPC system, allowing attackers to execute arbitrary commands on the OS and steal AI training data. Popular machine learning ...