Parallax's AI and Autonomy team provides custom solutions to hard problems involving the use of AI for the autonomous processing of data. This group creates novel AI algorithms while working with both real-world and model and simulation data. Our meta-cognitive approaches mirror real-world cognition and lend themselves to explainability, robustness, and context awareness. These approaches are grounded in the problems we solve, such as airborne combat operations, contracts data processing, infectious disease decision support, operational shaping of the battlespace, safety-assured satellite docking, and counter-autonomy.
Our custom models and software tackle these problems using state-of-the-art techniques in cognitive modeling, reasoning systems, adaptive planning methods (such as SHOP3), evolutionary and memetic algorithms, natural language processing, computer vision, and deep, convolutional, reinforcement, and recurrent neural networks,
The AI and Autonomy group provides solutions in domains such as:
Airborne systems
Space systems
- Business systems
- Medical care and triage
Our process lies on the foundation of agile software development to include:
Development using the Scaled Agile Framework (SAFe 5.1)
SCRUM principles and issue tracking
Continuous integration/continuous deployment (CI/CD)
Cloud-enabled and dockerized solutions capable of rapid deployment
Technical Lead
Director, AI & Autonomy
Matthew Molineaux
Related Focus Areas
Human Machine Teaming for Data Exploration