Sasha S. Rao and Todd M. Hopfinger of Sterne, Kessler, Goldsten & Fox PLLC discuss guidance and decisions on securing patents ...
There are other reasons that help explain the growing use of synthetic data in training AI models. Some things are so scarce or rare that they are barely represented in real data. Rather than letting ...
This study introduces an innovative cloud-based Genome-Wide Association Study (GWAS) platform​that addresses critical ...
The number of Michigan K-12 students who need help learning English in school is on the rise, but data tracking growth in those language skills varies widely around the state. The Michigan Department ...
Researchers utilize 2D electrical resistivity imaging and borehole data to estimate the N60-value of soils with k-means clustering technique Thailand's northern regions, characterized by complex ...
AI is already facing a data shortage, reshaping how new systems are built, Goldman Sachs data chief says. Synthetic data is filling the gap, but it risks flooding models with low-quality output.
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The researchers sampled hospital data from more than 2,600 patients in the U.S. They used machine learning to analyze millions of data points and discover hidden patterns in common blood measurements, ...
Attractive young woman in blue workwear nurse helping senior black man in wheelchair with questionnaire, african american pensioneer filling papers at nursing home, having assistance Simple patient ...