Researchers at Cambridge unveil Aardvark, an AI model for accurate and faster weather forecasting.
Weather forecasting software has come too far, especially since the time of supercomputers. Amidst the current onslaught of AI tech, researchers at Cambridge have built a new weather forecasting system powered by artificial intelligence.
Named Aardvark Weather, the developers assert this tool is a thousand times faster than the previous ones. And requires a thousand times less computing power to predict weather accurately, faster, and cost-effectively.
Being able to forecast weather and temperature for specific industries, such as renewable energy companies and geography, is a significant feat. Aardvark’s lead researcher assures the model’s capability to carry out this task efficiently.
Additionally, it would predict accurate weather for up to eight days, three more days than conventional weather forecasting models.
Today, every traditional tool is being replaced by AI. Simply because it is efficient and fosters convenience.
Supercomputers used for weather forecasting use a complex set of physical algorithms and several hours to produce the outcome. Unsurprisingly, they require extensive maintenance and upgrades.
Aardvark AI is a significant diversion from the traditional models for global and local forecasts. With its weather forecasting capabilities introduced to the world, the AI model can produce results within minutes on a single computer.
In the upcoming years, it could outperform the US’ national GFS forecasting system. Meanwhile, such AI models could also prove advantageous in predicting hurricanes, tsunamis, and wildfires, alerting the population before serious repercussions.