Recent advancements in technology, data modeling and cloud computing are making enterprise technology, such as machine learning for weather risks, more accessible to utilities of all sizes.

(To avoid influencing the results, data from the heat wave were not included in the dataset used to train the forecasting models.) The team found that using the deep learning method to identify ...

Successful test results of a new machine learning (ML ... improves how ML models assimilate data to make predictions. In ...

Machine learning technology that can recognize human faces may also help to improve weather forecasts ... pushes away the less similar points of data from less similar forecasts." ...

Then, using current weather data, they would make weather predictions based on what they’ve learned from the past. Some studies have shown that machine learning-based forecast systems can ...

Dr. Xiang'ao Xia from the Institute of Atmospheric Physics at the Chinese Academy of Sciences concludes, "Machine learning has important application prospects in the field of weather and climate ...

Discover how Betting Models Sports Wagering Analytics are transforming sports betting with real-time data and machine ...

Google has created an AI weather forecaster that could give meteorologists more tools to work with. The new model, GraphCast, was built by Google DeepMind. According to new studies on the model ...

The studies were the first to apply machine learning to filter massive amounts of long-term weather surveillance radar data to monitor large-scale aerial insectivore behavior. This is the first ...

After uncovering a unifying algorithm that links more than 20 common machine-learning ... table stems from one key idea: All these algorithms learn a specific kind of relationship between data ...