The core challenge is estimating the relationship between AI and productivity, says Erik Lundh of The Conference Board.

Abstract: The research on pet market forecasting is to use appropriate models and algorithms to predict future information, which is of great significance for the pet industry to formulate development ...

A) Retail/E-commerce inventory (forecasting product demand for stores or online sales) B) Manufacturing raw materials (forecasting material needs for production) C) Distribution/logistics (forecasting ...

Time Series Forecasting Engine is a comprehensive, production-ready Python framework for advanced time series forecasting. It combines statistical models (ARIMA), machine learning approaches (Prophet) ...

Abstract: Code-based Distributed Matrix Multiplication (DMM) has been widely studied as an effective method for large-scale matrix computations in distributed systems. Two central challenges in ...