In the agricultural and food industry, determining the chemical composition of raw materials is important for production efficiency, application, and price. Traditional laboratory testing is ...
Lawrence Livermore National Laboratory (LLNL) scientists have developed a new approach that can rapidly predict the structure and chemical composition of heterogeneous materials. In a new study in ...
Machine learning algorithms have increasingly become integral to gamma-ray spectroscopy, enabling automated feature extraction, classification and quantitative analysis from complex spectral data.
A machine learning model has been developed that makes optical spectroscopy data easier and quicker to interpret. Researchers from Rice University (TX, USA) have developed a new machine learning ...
A new study has set out to transform molecular diagnostics, utilizing infrared light and machine learning to detect health conditions from a single drop of blood. Infrared spectroscopy has been a key ...
The third PCT family of patenting to emerge from IR Medtek LLC, and its first as the sole named assignee, sees its CEO, Douglas Cohen, continue to build protection for the company’s platform which ...
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