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

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

A new framework restructures enterprise workflows into LLM-friendly knowledge representations to improve customer support automation. By introducing intent-based reasoning formats and synthetic ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

What if you could look into a cow's face and know whether it had a fever? A new tool from the Artificial Intelligence and ...

Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Confidential complaints filed by troops and their families reveal patterns of wrongdoing in the ranks that are hidden from ...

Background: Kidney cancer is a highly heterogeneous oncologic disease with historically poor prognosis. Precise assessment of the risk of distal metastasis can facilitate risk stratification and ...

Today, the plastics industry stands at the threshold of a technological revolution, with artificial intelligence and machine learning poised to transform everything from material development to ...