The study highlights machine learning's role in predicting concrete strength with industrial waste, promoting low-carbon ...

A common AI fine-tuning practice could be unintentionally poisoning your models with hidden biases and risks, a new Anthropic study warns.

Ink authentication is often complicated by tampering, aging, and chemical variability. Now, forensic scientists are turning ...

To assess predictive potential, the researchers applied machine learning models—including gradient-boosted decision trees and ...

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

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

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

KAIST (President Kwang Hyung Lee) announced on the 20th that a research team led by Professor Sungjin Ahn in the School of Computing has developed a new technology that significantly improves the ...

Agricultural firms are uniquely exposed to risks that include volatile commodity prices, geopolitical tensions, and uneven access to credit. These conditions heighten the importance of timely ...