griDNA, an R&D 100 (2025) finalist from Sandia National Laboratories, is an autoencoder-based system that fuses 60-samples-per-second grid measurements (frequency, voltage, current) with intermittent network telemetry to identify cyber, physical, and blended anomalies on the power grid. The team has run the model on low-cost single-board computers and on existing security devices and is field-testing… The post R&D 100 finalist: Sandia’s griDNA flags cyber-physical grid anomalies at the ed...| Research & Development World
Latent representations for generative models.| Sander Dieleman