A laboratory study using machine learning to optimize hydrothermal production of carbon quantum dots from tea processing ...

Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been thought to forebode earthquakes are not supported by empirical evidence. As ...

A research team led by Prof. Wan Yinhua from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences has developed a machine learning (ML) framework to analyze virus filtration ...

Thought LeaderDr. James McDonaghPrincipal Applied AI ScientistApconiX You have worked across the full drug development pipeline. How has that experience shaped your view of where AI can have the ...

Combining low-fidelity trend information with empirical data to train models can improve their accuracy and reduce costs.

Cryptocurrency markets generate enormous amounts of information. Artificial intelligence (AI) and machine learning systems can process price movements, trading ...