Artificial intelligence (AI) is being utilized in many applications for both business and homes. When it comes to forecasting weather, meteorologists are using a number of models and data sources to track shapes and movements of clouds that could indicate severe storms. Science Daily brought this interesting information to our attention in their article, “Using artificial intelligence to better predict severe weather.”
However, with increasingly expanding weather data sets and a real-time pressure, it is nearly impossible for meterologists to monitor all storm formations simultaneously.
A team of researchers at Penn State, AccuWeather and the University of Almeria in Spain have developed a computer model that can help forecasters recognize potential severe storms more quickly and accurately. They have developed a framework based on machine learning linear classifiers, which is a form of AI.
Using computer vision and machine learning techniques, the researchers taught computers to automatically recognize and detect comma-shaped clouds in satellite images. The computers can then assist experts by pointing out in real time where could they focus their attention.
Melody K. Smith
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