Maximum diversification of data is a central theme in building generalized and accurate machine learning (ML) models. In chemistry, ML has been used to develop models for predicting molecular ...
The analysis of large and complex data sets is one of the most important problems facing the scientific community, and physics in particular. One response to this challenge has been the development of ...
Our understanding of progress in machine learning has been colored by flawed testing data. The 10 most cited AI data sets are riddled with label errors, according to a new study out of MIT, and it’s ...
It’s an open secret that the data sets used to train AI models are deeply flawed. Image corpora tends to be U.S.- and Western-centric, partly because Western images dominated the internet when the ...
AI is looking at mental health through data sets. A data set corresponds to one or more database tables, where every column of a table represents a particular variable, and each row corresponds to a ...
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