The scanR high-content screening (HCS) station provides fully automated image acquisition and data analysis. Version 3.3 improves the deep-learning technology's capabilities to reliably separate objects in biological samples using instance segmentation, the ability to detect and delineate distinct objects of interest in an image. Accurate object segmentation: raw data (left), standard threshold (middle), TrueAI instance segmentation (right). Instance segmentation reliably separates difficult-to-distinguish objects that are very close together, such as cells or nuclei in colonies or tissue. The deep-learning technology can detect cells, nuclei and subcellular objects, and extract features from a list of over 100 object parameters.

VocalIQ concentrated its deep-learning capabilities to better understand human speech. This could provide Siri with an upgrade. Perceptio can run neural-network algorithms and perform advanced calculations locally on a cellphone, without uploading user data to the cloud. This would help Apple protect consumer data by keeping it local to each phone. Emotient attempts to read facial expressions in order to determine a person's emotional state.