Data sources such as historical sales and real-time market trends, and external factors like weather patterns, play a vital role in helping machine learning algorithms generate accurate predictions.

Forecasting macroeconomic variables is key to developing a view on a country's economic outlook. Most traditional forecasting models rely on fitting data to a pre-specified relationship between input ...

DOI: 10.1007/s10546-022-00779-6 Machine learning technology that can recognize human faces may also help to improve weather forecasts, according to a team of scientists.

DeepMind's new machine learning algorithm takes less than a minute to make its forecasts and can run on a desktop. But it won't replace traditional forecasts anytime soon.

The new machine learning method, paired with weather forecasting, can predict lightning two days earlier than the current leading technique. Researchers hope to improve the system with more data ...

Artificial intelligence-driven algorithms can be used to better forecast models for natural disasters, saving lives and protecting property by rapidly analyzing massive data sets and identifying ...

Huawei’s Pangu-Weather, Nvidia’s FourcastNet, and Google DeepMind’s GraphCast, are making meteorologists “reconsider how we use machine learning and weather forecasts,” Peter Dueben ...

It’s not surprising that we would start applying machine learning, artificial intelligence and neural networks to something as complicated as forecasting the weather. They don’t get a lot of ...