Since 2010, DCS has served as the lead member of the Cognition and Neuroergonomics Collaborative Technology Alliance (CaN CTA), whose goal is to develop real time human/machine interfaces. DCS has made significant contributions to basic research in non-medical human cognitive state sensing, exploration, and exploitation by developing advanced signal processing and machine learning tools. ARL and DCS scientists placed first in an international competition for neural-based image triage, the NII Testbeds and Community for Information access Research (NTCIR) Conference on Evaluation of Information Access Technologies. Additionally, in 2018, DCS scientists authored a research paper describing Deep Net application, which was awarded the Parasuraman Prize for Innovative Application as part of the 2nd International Neuroergonomics Conference.
Additionally, DCS subsidiary Infoscitex (IST), has employed deep convolutional neural networks in robust detection of humans in airborne sensor imagery for the AFRL. This includes a fast implementation support video frame rate processing which supports tracking and human characterization.