Growing use of coding agents and consumption-based pricing models could push per-developer AI spending to unprecedented ...

On March 3, 2026, Cartesi CTSI trades at $0.0239, reflecting a 0.39% decline on the day. The token remains under mild pressure as intraday volatility keeps price action confined within a narrow range ...

In this code pattern, we will demonstrate on how subject matter experts and data scientists can leverage IBM Watson Studio to automate data mining and the training of time series forecasters using ...

In this project, I performed time series forecasting using LightGBM. I predicted sales for 50 items across 10 different stores for a three-month period. The data covers 5 years (from 2013-01-01 to ...

Wind speed forecasting is critical to renewable energy generation, agriculture, and disaster prevention. Due to the uncertainty and intermittence of wind, conventional forecasting methods with ...

The era of modern financial data modeling seeks machine learning techniques which are suitable for noisy and non-stationary big data. We demonstrate how a general class of exponential smoothed ...

Accurate prediction of the size and timing of infectious disease outbreaks could help public health officials in planning an appropriate response. This paper compares approaches developed by five ...

The Infodengue-Mosqlimate Dengue Challenge 2024 (IMDC24) was organized by the Mosqlimate-Infodengue consortium, which aims to provide forecasting models as decision support tools for early warning ...