Abstract: Breast cancer remains a leading cause of death among women, highlighting the urgent need for effective detection methods. In recent years, AI-based techniques, including computer vision, ...
Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain ...
Artificial Intelligence in Science Learning within the Framework of Situated Learning Theory: A Qualitative Investigation of Teachers’ Perspectives This study explores how artificial intelligence (AI) ...
The Milky Way has just been reconstructed in unprecedented detail, with artificial intelligence helping astronomers track the ...
A research team has mapped how machine learning is transforming the global tea industry, revealing that data-driven ...
Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data ...
The approach to sports forecasting has changed dramatically with the introduction of technology into the process. Websites, ...
Pages Latest Report] According to a market research study published by Custom Market Insights, the demand analysis of Global ...
A machine learning framework can distinguish molecules made by biological processes from those formed through non-biological ...
Abstract: Modeling, monitoring and control of nanoparticle generation processes are of critical importance in various industrial applications due to their impact on product quality and process ...
A machine learning framework can distinguish molecules made by biological processes from those formed through non-biological ...