A new machine learning technique, Latent-EnSF, enhances data assimilation for weather forecasting and tsunami prediction, showing improved accuracy, speed, and efficiency over existing methods.

The separation of encoder and decoder components represents a promising future direction for wearable AI devices, efficiently balancing response quality, privacy protection, latency and power ...

Successful test results of a new machine learning (ML) technique developed at Georgia Tech could help communities prepare for extreme weather and coastal flooding. The approach could also be applied ...