The message from Kumar’s research is clear: the future of inventory forecasting is intelligent, adaptive, and AI-driven.

A research team has studied the development of the Shanghai Typhoon Model from a traditional physics-based regional model toward a data-driven, machine-learning typhoon forecasting system. They ...

Traditional machine learning methods suffer from the curse of dimensionality. Here, Ryan Samson, Jeffrey Berger, Luca Candelori, Vahagn Kirakosyan, Kharen Musaelian and Dario Villani introduce a novel ...

Artificial intelligence models have improved weather forecasting, but their inner workings are largely opaque. A new approach ...

Astonishing Ways AI-Powered Demand Forecasting Will Revolutionize Your Business. AI-Powered Demand Forecasting: ...

Causal AI transforms key areas of manufacturing by revealing what happens and why. In predictive maintenance, it shifts focus ...

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Weather Forecasting Service Market is expected to grow significantly, reaching USD 4.8 Billion by 2033, up from USD 2.4 ...