The Chinese AI lab may have just found a way to train advanced LLMs in a manner that's practical and scalable, even for more cash-strapped developers.

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 ...

Researchers from the University of Chinese Academy of Sciences and collaborating institutions have developed a novel ...

A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...

Beyond formal workplaces, Idiareh has taken her safety model into informal communities where accidents are common but hardly ...

The notion that an AI system would be able to predict over a thousand diseases years before onset seems almost science fiction-inspired Ideal Clinicals until Delphi-2M came around and showed that it ...

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...

Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...

Objective Chronic kidney disease (CKD) arises due to uncontrolled hypertension (HTN). HTN significantly increases the risk of complications in vital organs, mainly the kidneys. If hypertensive ...

When experimental results don't match scientists' predictions, it's usually assumed that the predictions were wrong. But new ...

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 ...