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

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

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 ...

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

The bias-variance trade-off is crucial for achieving an optimally performing supervised learning model. Bias is the ...

One key activity that teachers learned, known as Pasta Land, helps students understand how computers use decision trees to ...

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 ...

Scientists on the ATLAS experiment explored the polarization of W bosons to test the Higgs mechanism and gain a deeper ...

Investment Week provides the latest investment news, analysis and opinion for wealth managers and the UK funds industry ...

Discover how cutting-edge AI products are transforming industries, boosting innovation, and shaping Africa’s tech future and ...

Diffusion models are widely used in many AI applications, but research on efficient inference-time scalability, particularly for reasoning and planning (known as System 2 abilities) has been lacking.