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 ...

Agricultural firms are uniquely exposed to risks that include volatile commodity prices, geopolitical tensions, and uneven ...

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

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 ...

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 ...

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

Seattle City Light underwent a shift to data-driven utility vegetation management to manage risks and improve reliability.

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.