Yet most demand forecasting systems today often produce disappointing results and significant forecast errors. The standard models found in these systems cannot easily identify trends in the data.
A century ago, English mathematician Lewis Fry Richardson proposed a startling idea for that time: constructing a systematic process based on math for predicting the weather. In his 1922 book, ...
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US Army creates new AI officer career path to embed machine learning across operations
The U.S. Army has formally created a new career pathway for officers to specialize in artificial intelligence and machine learning. The service designated 49B Artificial Intelligence/Machine Learning ...
Russ Schumacher receives funding from the National Oceanic and Atmospheric Administration for research on applying machine learning to improve forecasts of high-impact weather. Aaron Hill receives ...
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