This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in ...

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

Despite the AI hype, tools are proving valuable for leading-edge chip manufacturing. More aggressive feature scaling and ...

Advancements in biomedical technologies have significantly facilitated the diagnosis and monitoring of diseases. Nonetheless, traditional diagnostic ...

In a sport where tactics, terrain, weather, and timing all merge into one fluid contest, predicting the outcome of a cycling race can seem like guesswork.

In a world where it’s getting harder by the day to tell whether a paragraph, a painting, or even a scientific paper was ...

The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

AI is revolutionizing flood victim searches by rapidly scanning drone imagery to pinpoint debris that may hide bodies, ...

Agentic AI marks a monumental shift, building on Large Language Models with self-reflection and planning. These systems understand, learn, and proactively execute tasks, blurring the line between tool ...

AI offers promise in the realm of chronic disease management, including diabetes, obesity, and PCOS, but must be approached with caution.

It might seem like an obvious move to deploy drones to help look for flood victims, but floods pose unique challenges that ...

Flood modeling in arid environments like Saudi Arabia is constrained by the absence of reliable hydrological datasets and extreme variability in topography. To overcome these limitations, the study ...