Picture a single forecasting mistake triggering a cascade of negative consequences, such as surplus inventory, strained supplier relationships and disappointed customers. In today's world, accurate ...

Read more about Artificial intelligence boosts financial forecasting accuracy in banking sector on Devdiscourse ...

This study was led by Professor Qi Zhong and Professor Xiuping Yao from the China Meteorological Administration Training Center, and Assistant Engineer Zhicha Zhang from the Zhejiang Meteorological ...

Utilities worldwide are turning to artificial intelligence (AI) and machine learning to stabilize networks, forecast ...

Scientists have developed a machine learning approach to accurately predict potentially harmful amine emissions from carbon-capturing plants. Global warming is partly due to the vast amount of carbon ...

In a new study led by the University of Washington, researchers have demonstrated artificial intelligence's ability to improve lightning forecasts. Lightning strikes led to the devastating California ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

For more than 30 years, the models that researchers and government agencies use to forecast earthquake aftershocks have remained largely unchanged. While these older models work well with limited data ...

Forecasting has traditionally been a time-consuming process, often done manually by hand. This process is prone to error, relying solely on historical data, human judgment, and memory recall. Even ...

Miguel Jimenez receives funding from the National Aeronautics and Space Administration. With chatbots like ChatGPT making a splash, machine learning is playing an increasingly prominent role in our ...