Google, Microsoft and Nvidia are among the names vying to make forecasts more accurate for longer.

While demand planning accuracy currently hovers around 60%, DLA officials aim to push that baseline figure to 85% with the help of AI and ML tools. Improved forecasting will ensure the services have ...

Since its theoretical concept in the 1950s, artificial intelligence (AI) paved the way for businesses to experience enhanced opportunities and productivity through various techniques, especially ...

Nature’s annual list of technologies to watch is a chance to celebrate progress and stimulate research into both ...

AI models can process thousands of factors simultaneously, including demand signals across multiple items, macroeconomic ...

Meteorologists gathered in Lake Tahoe for the Operation Sierra Storm Weather Conference, getting hands-on experience with ...

The Writer As climate extremes intensify across Africa, the need for accurate and timely weather prediction has become ...

PS Seasoning released its annual forecast of the consumer-driven flavor trends expected to shape the year ahead, including ...

Abstract: The growing adoption of electric vehicles (EVs) requires strategic planning of charging infrastructures to ensure greater efficiency and accessibility. In this context, forecasting EV trips ...

├── src/ # Source code │ ├── data/ # Data handling and preprocessing │ ├── models/ # Forecasting models │ ├── evaluation/ # Model evaluation metrics │ ├── backtest/ # Backtesting framework │ └── utils ...

Abstract: Accurate forecasting of macroeconomic trends is crucial for informed policy-making in the dynamic economies of BRICS nations; yet, traditional methods struggle to capture complex temporal ...