A research team led by NIMS has, for the first time, produced nanoscale images of two key features in an ultra-thin material: ...
Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy ...
The process of testing new solar cell technologies has traditionally been slow and costly, requiring multiple steps. Led by a fifth-year PhD student, a Johns Hopkins team has developed a machine ...
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Machine learning used to calibrate emissions control systems faster, more efficiently
Southwest Research Institute (SwRI) has developed a method to automate the calibration of heavy-duty diesel truck emissions ...
X-ray absorption spectroscopy (XAS) provides valuable information about a material’s properties and electronic states.
Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...
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 ...
When training large language models on human speech, they have the entire history of human communication to pull from. For ...
Jordan Awan receives funding from the National Science Foundation and the National Institute of Health. He also serves as a privacy consultant for the federal non-profit, MITRE. In statistics and ...
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