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

Yan, H.J. and Jin, C. (2025) The Evolution of Library and Information Science in China under the Big Data Paradigm —An Empirical Study Based on Chinese Core Literature. Open Journal of Social Sciences ...

EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses ...

What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

Mining Logistics Market size is expected to be worth around USD 136.7 Billion by 2034, from USD 33.5 Billion in 2024, at a ...

Machine learning transforms the landscape of 2D materials design, particularly in accelerating discovery, optimization, and screening processes. This review has delved into the historical and ongoing ...

Abstract This research focuses on predicting cardiovascular disease using machine learning classification strategies. The study presents a unique approach by integrating multiple machine learning ...

Streaming data clustering is a popular research topic in data mining and machine learning. Since streaming data is usually analyzed in data chunks, it is more susceptible to encountering the dynamic ...

Technological innovations, particularly in the data and machine learning space, are pivotal in addressing the increasing global demand for critical minerals, highlights geoscience software company ...

BERWYN, PA / ACCESS Newswire / July 24, 2025 / Chilean Cobalt Corp. (OTCQB:COBA) ("Chilean Cobalt" or the "Company") is pleased to announce the launch of a pilot program using artificial intelligence ...

4. Conclusions In order to improve the quality of teaching and adapt to the construction of applied universities, it is necessary to conduct in-depth analysis and reform of data mining and machine ...