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NASA and IBM's Prithvi WxC tackles environmental challenges
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NASA`s New AI Weapon
NASA and IBM design Prithivi WxC to face environmental challenges.Altman`s shocking Claim
OpenAI CEO Predicts transformative AI era approaching.
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NASA
⛈️ Prithvi WxC: Weather's New AI Crystal Ball?
NASA and IBM have collaborated to create Prithvi WxC, an AI foundation model for weather and climate applications.
Source: Ideogram
What makes Prithvi WxC special?
It's a large-scale model with 2.3 billion parameters
Trained on 160 atmospheric variables from NASA's MERRA-2 dataset
Covers global atmospheric data from 1980 to present
Designed as a versatile foundation model, not a task-specific one
How does it work?
Uses advanced AI techniques to process regional and global weather patterns
Can be fine-tuned for various weather and climate applications
Aims to improve accuracy and efficiency of weather predictions
Prithvi WxC Core Architecture Elements and masking scheme (Source: Nasa)
Is it accessible to others?
Yes, NASA and IBM are making it publicly available through Hugging Face
Training workflows are also being shared, embracing open science principles
What could this mean for weather forecasting?
Potential for more accurate weather predictions
Improved disaster preparedness
Optimized agriculture schedules
Why does this matter?
Could lead to better disaster response and save lives
Might make food production more efficient and cheaper
Represents a significant step in applying AI to complex environmental challenges
This collaboration between NASA and IBM could revolutionize how we understand and predict weather patterns, with far-reaching implications for various sectors and everyday life.
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