Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Machine learning systems embed preferences either in training losses or through post-processing of calibrated predictions. Applying information design methods from Strack and Yang (2024), this paper ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...

Finbold's AI prediction platform estimated, on average, that the Bitcoin price will rally a mere 1.6% by January 31, 2026.

The integration of AI in meteorological services extends beyond just weather predictions. The CMA is also working on developing new ...

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as its boiling or melting point. Once researchers can pinpoint that prediction, ...

Global climate models capture many of the processes that shape Earth's weather and climate. Based on physics, chemistry, ...

Modern forex trading heavily depends on advanced analytics, machine learning, and real-time data processing. Big data platforms are boosting forecasting ...