Zeus
Subnet ID: 18
Coldkey:5DHwWLjtpwnZQUQKKXE2N5Gdy2N8PpqhgjLUuzgSB7yuGZkF
Zeus leverages advanced AI models to forecast environmental variables using ERA5 reanalysis data from the Copernicus Climate Data Store—the largest global environmental dataset with hourly measurements from 1940 to present. The subnet incentivizes development of data-driven algorithms that can predict weather and climate faster, cheaper, and potentially more accurately than traditional physics-based numerical weather prediction models.
0.0063This subnet is currently safe from deregistration.
Yuma Pulse™
Environmental AI
Data-driven weather and climate prediction models replacing expensive physics-based NWP with efficient AI approaches
ERA5 Dataset Access
Validators stream terabytes of hourly environmental data spanning 1940 to present across hundreds of variables
Cost Efficiency
AI models deliver predictions at a fraction of the cost and carbon emissions of traditional numerical weather simulation
Continuous Evolution
Subnet evolves to tackle increasingly difficult problems as miners develop groundbreaking prediction architectures