AI Software Accurately Identifies Zebrafish by Tracking Behavior

Portuguese researchers have built software that accurately identifies up to 150 individual zebrafish almost 100 percent of the time by tracking their behavior, reports. Gonzalo de Polavieja, principal investigator at the Collective Behavior Lab, along with his colleagues built idtracker.ai, Idtracker.ai is composed of two convolutional neural networks that identify and track individual animals within a group. Their results were published in the journal . "The ultimate goal of our team is understanding group behavior," de Polavieja said.