The University of North Texas (UNT) is stepping into the future with a new undergraduate major in Artificial Intelligence (AI ...
A peer-reviewed industry survey highlighting gaps in traditional demand forecasting and the role of AI in new product ...
MIAMI, Feb. 19, 2026 /PRNewswire/ -- AI-driven forecasting and pricing tools are expected to have the biggest operational impact on the hospitality industry in 2026, according to a new OysterLink poll ...
An advanced Deep Learning pipeline for spatio-temporal wind speed forecasting using ConvLSTM, PredRNN, and a state-of-the-art Transformer model (PredFormer Fac-T-S). This project handles the entire ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Senate Democrats on Wednesday unveiled a list of changes they’re demanding to legislation funding the Department of Homeland Security after federal agents shot and killed Alex Pretti in Minneapolis ...
Abstract: Accurate electricity load forecasting is crucial for efficient grid management, resource allocation, and maintaining stability, particularly in the face of increasing climate variability and ...
* Each model may generate different numbers of predictions due to varying prediction intervals. * Human accuracy is calculated using the same prediction points as the corresponding model for fair ...
Abstract: Today, ride booking for daily commute has become a ubiquitous and common service in metropolitan cities due to the recent technological advancements. Ride request demand forecasting focuses ...
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