Kronos is the first open-source foundation model for financial candlesticks (K-lines), trained on data from over 45 global exchanges. Kronos is a family of decoder-only foundation models, pre-trained ...

The Flash Crash remains a reminder of what happens when automated systems act faster than humans can interpret—and when the ...

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

One of the most pressing challenges to the continued deployment of nuclear energy systems is in the ultimate management and disposition of discharged fuel assemblies. While reprocessing and recovery ...

The company is positioning itself as a direct global competitor to established AI platforms like ChatGPT and Claude.

This video demonstrates how to model rigid objects using springs in a Python physics simulation. We explore how spring forces approximate rigidity, analyze motion and stability, and visualize the ...

Abstract: Credit card fraud detection presents a significant challenge due to the extreme class imbalance in transaction datasets. Traditional machine learning models struggle to achieve high recall ...

ABSTRACT: Accurate prediction of water travel time in drip irrigation systems is essential for efficient water and nutrient delivery. This study develops a predictive model for travel time by ...

ABSTRACT: This study investigates projectile motion under quadratic air drag, focusing on mass-dependent dynamics using the Runge-Kutta (RK4) method implemented in FreeMat. Quadratic drag, predominant ...

Yann LeCun, the artificial intelligence pioneer who is leaving Meta Platforms Inc. at the end of the year, said Meta will not financially back his new AI company and hinted it could be based in Paris.