Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, traditional statistical models have struggled to interpret nonlinear, dynamic ...

President Donald Trump slammed Time magazine for using what he called a “super bad” photo of him in its news coverage of covering the Israel-Hamas peace deal brokered by him. “Time Magazine wrote a ...

A comprehensive time series analysis project that uses various forecasting techniques to predict book sales and demand patterns. This project analyzes historical sales data from Nielsen BookScan to ...

Abstract: Retail transactions time series analysis helps the super market to analyze the customer behavior based on their purchases. It helps the super market to increase their sales based on the ...

Apple's upcoming foldable iPhone will have a frame that's made from a mix of titanium and aluminum, analyst Jeff Pu said today in a note shared with investors. Pu suggested that Apple will expand its ...

Kairos is a flexible time series foundation model designed to handle the dynamic and heterogeneous nature of real-world time series data. Unlike existing models that rely on rigid, non-adaptive ...

In this tutorial, we build an advanced agentic AI system that autonomously handles time series forecasting using the Darts library combined with a lightweight HuggingFace model for reasoning. We ...

In other words, you’re constantly battling the feeling that there’s simply not enough time. But what if you could reframe the way you think about time? Well, you can. It involves learning a little ...

OpenAI is rolling out GPT-5-Codex, a new, fine-tuned version of its GPT-5 model designed specifically for software engineering tasks in its AI-powered coding assistant, Codex. The release is part of a ...

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