Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy (XAS) is an important technique for this, as it reveals detailed insights ...
Researchers at the University of Tokyo developed CYAN, a machine-learning method that extracts reaction rate constants from routine yield-optimization data, revealing a counterintuitive nickel ...
Chemists have created a machine learning tool that can identify the chemical composition of dried salt solutions from an image with 99% accuracy. By using robotics to prepare thousands of samples and ...
Polymers such as polypropylene are fundamental materials in the modern world, found in everything from computers to cars. Because of their ubiquity, it's vital that materials scientists know exactly ...
Hello, this is suzuki.I haven't posted much about data analysis lately, as I've been focusing on things like Switch automation, so I've written down some personal thoughts on data analysis.Rather than ...
Cytological tests are a common method of screening for cancer cells in stained cell samples. Using a microscope, pathologists examine cells collected from bodily fluids, looking for telltale signs of ...
Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...
A new analysis of Bangladesh's 2022 Demographic and Health Survey combines logistic regression with machine learning to ...
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