Bacterial identification can take hours and often longer -- precious time when diagnosing infections and selecting appropriate treatments. There may be a quicker, more accurate process. By teaching a deep learning algorithm to identify the 'fingerprint' spectra of the molecular components of various bacteria, the researchers could classify various bacteria in different media with accuracies up to 98%.