Machine Learning


Machine Learning and Artificial Intelligence gives computers the capability to learn without being explicitly programmed. Instead, they are trained to perform a task using massive amounts of data. Our expertise is growing in data collection, curation and annotation capabilities. Examples of data and applications that PAR Government has worked on include:

  • Object recognition from imagery, video, radar, and LiDAR
  • Generation of data used for mission rehearsal
  • Situational monitoring and anticipating events
  • Hardware control, such as autonomous vehicles and equipment
  • User-centric Common Operating Pictures

Human-Machine Teaming:

This technical focus area is at the nexus of humans and semi-autonomous machines supporting their operations. Technologies are aimed at remotely piloted vehicles, autonomous vehicles, automated intelligence analytics, etc. This explores cognition and perception, machine learning, autonomy, user interfaces, communication, and planning and scheduling.


Data Science:

AI/ML and data analytics in operations and intelligence systems have increased the profile of data oversight functions in the DoD and intelligence communities. Huge volumes of heterogenous, multi-modal data must quickly be characterized and data sets created to train and test automated systems. Also, information architectures must be developed to ensure derived products comply with data governance requirements.


Media Forensics:

PAR Government's Media Forensics team looks into the detection of “fake news” and other misinformation intended to manipulate public opinion or damage a reputation.