In a breakthrough study published in Nature Communications, scientists have developed a new automated analysis method for the rapid identification of species in large datasets. The method, called Automated Species Identification (ASI), uses a combination of machine learning and artificial intelligence to quickly and accurately identify species in large datasets. The method also eliminates manual sorting and labeling of data which can be time-consuming and prone to human error. ASI is expected to revolutionize the way species are identified in large datasets by providing a much faster and more accurate way to identify species. This could be especially useful for researchers trying to identify species in large datasets of environmental samples.

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source: Phys.org