With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Machine learning (ML) is rapidly emerging as a powerful tool to improve the safety, reliability, and long-term performance of marine structures exposed to harsh ocean environments. This study presents ...

Pursuant to the Agreement, Hunan Saitumofei has granted Shanghai Benke exclusive distribution rights for the Analyzer in East China, covering Jiangsu Province, Shanghai Municipality, and Zhejiang ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

AMD’s next-generation Zen 6 CPU architecture has quietly made its first appearance through an internal developer document, ...

Overview: AI skills in 2026 require both technical understanding and the ability to apply them responsibly at work.Machine ...

Researchers at National University of Singapore used multiple interpretable machine learning methods to predict traffic congestion in in Alameda ...

The IMF develops a machine-learning nowcasting framework to estimate quarterly non-oil GDP in GCC countries in real time, addressing long data lags and oil-driven distortions in headline GDP. By ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.