In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

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 ...

Put down the pen and paper and shelve the spreadsheets. Artificial intelligence (AI) and advanced machine learning are the next-generation tools for demand forecasting in distribution. That was the ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

Researchers in China have applied a machine learning technology based on temporal convolutional networks in PV power forecasting for the first time. The new model reportedly outperforms similar models ...

Read more about Deep learning and AI unlock new era of solar energy forecasting and performance on Devdiscourse ...

Researchers at the Institute of Industrial Science, The University of Tokyo and George Mason University's College of Science ...

Cyber threats are increasing in speed and complexity, driving the need for advanced detection techniques. Machine learning is ...

Federal scientists announced a new artificial intelligence tool that can forecast drought conditions 90 days ahead across the ...

David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...