Applied Intuition Defense blog

Explore the challenges of off-road autonomy, from rugged terrains to changing conditions, and how Applied Intuition’s tech enhances navigation and safety.

Terrain segmentation and action recognition are two crucial tasks for autonomy, but it can be very difficult to collect and label data for these complicated machine learning tasks. Applied Intuition’s Synthetic Datasets can be used to generate large-scale, diverse datasets for these tasks and improve performance of machine learning models.

As the U.S. military presses ahead into the digital age, program executive officers can take hard-won lessons from top vehicle manufacturers that offer a new direction for software-centric design that can secure America’s competitive edge.

The same principles that work in commercial technology development can be applied to the defense sector and strengthened through collaboration between industry, the Defense Department and allied militaries.

Autonomous systems are changing how modern conflict is fought and delivering a competitive advantage to those that can field them on the battlefield. Central to achieving this is having AI-based software process sensor data to perceive its surroundings, localize, and optimize trajectory in a continuous feedback loop. However, developing these capabilities is a challenging task because the performance of the system varies based on the environment it is deployed in. This blog post explores how digital engineering can accelerate software development for modern Small Unmanned Aerial Systems.

Applied Intuition received a production contract from AFWERX Autonomy Prime to deliver synthetic data to train an aided target recognition algorithm to identify and track adversary systems.