Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

Grape stems are rich in bioactive phenolic compounds, offering potential for developing antioxidant-rich products in the food industry. The study employed UV-vis spectrophotometry and HPLC to quantify ...

Sapio Sciences, the science-aware™ AI lab informatics platform, today announced the availability of trusted, third-party ...

The mean, variance, and autocorrelation of glucose dynamics are independently associated with coronary plaque vulnerability.

Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...

Subsurface reservoir engineering has become increasingly pivotal as the world intensifies its focus on sustainable energy systems and effective resource ...

When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...

Abstract: The high performance of conventional model predictive control (CMPC) for electric drives depends on the fidelity of the machine’s parametric model. However, the parameters of the interior ...

Abstract: Explicit model predictive direct speed control (EMP-DSC) for permanent magnet synchronous motors can achieve excellent control performance with high dynamics and high precision. However, the ...

ABSTRACT: GARCH models have been commonly used to capture volatility dynamics in financial time series. A key assumption utilized is that the series is stationary as this allows for model ...

With the wealth of data institutions have at their disposal, and with the emergence of more sophisticated analytics and decision-making capabilities, institutions have an opportunity to shift from ...