Researchers in the fields of artificial intelligence (AI) and machine learning are developing computer programs that can not only sort through large amounts of data, but learn from it and inform future strategic decisions. Washington State University (WSU) brought this topic to our attention in their article, “Using machine learning to solve real-world data problems for scientists and engineers.”
A WSU research team is taking a different approach in machine learning research. Their work and findings can be of great practical use, most especially to engineers and scientists.
The research is based on Doppa’s 2019 NSF Early Career Award and focuses on developing general-purpose learning and reasoning computer algorithms to support engineers and scientists in their efforts to optimize the way they conduct complex experiments. Working on the “past informs the future” model, they are working to combine domain knowledge from engineers and scientists with data from past experiments to select future experiments.
Melody K. Smith
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