Abstract
Fresh data on artificial intelligence are presented in a new report. According to news originating from Knoxville, Ten nessee, by NewsRx editors, the research stated, "The rapid development of comput ation power and machine learning algorithms has paved the way for automating sci entific discovery with a scanning probe microscope (SPM)." Financial supporters for this research include Office of Science; National Scien ce Foundation; National Science And Technology Council. Our news reporters obtained a quote from the research from University of Tenness ee: "The key elements toward operationalization of the automated SPM are the int erface to enable SPM control from Python codes, availability of high computing p ower, and development of workflows for scientific discovery. Here, we build a Py thon interface library that enables controlling an SPM from either a local compu ter or a remote high-performance computer, which satisfies the high computation power need of machine learning algorithms in autonomous workflows."
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