TinyML is an incredibly powerful piece of software, and you can easily train your own model and deploy it on an ESP32.
A neural interface framework integrating L2 regularization with attention supervision paradigms achieves 96.87% classification accuracy in EEG ...
Data anomaly detection is the process of examining a set of source data to find data items that are different in some way from the majority of the source items. There are many different types of ...
Researchers at Sandia National Laboratories have developed AI algorithms to detect physical problems, cyberattacks and both at the same time within the grid. “As more disturbances occur, whether from ...
Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...