Revolutionizing the defense and intelligence community by solving problems with national impact.
While we are more than just numbers, we are happy to boast about our ongoing projects.
Our work with advanced sensor processing systems and cutting-edge AI/ML capabilities help DoD users improve situational awareness and swiftly react in dynamic environments.
Expedition applies AI/ML in sensor processing to enable IC users and systems to sort through data to assess threats to national security.
Expedition partners with companies to develop advanced commercial products and services in use by the Defense and Intelligence sector.
See some of our published papers, conference talks, and tutorials to get a better understanding of future developments.
Combining traditional signal processing and Machine Learning algorithms to process gigasamples of data at the edge and in the cloud.
Detecting and tracking real-world objects for a variety of sensing modalities, even for missions with scarce training data.
Researching and deploying novel networks to tackle real-time challenges with raw sensor data.
Providing user-friendly interfaces for complex data visualization and Machine Learning solutions
Building robust solutions using tools like Docker, Kubernetes, and Cloud Formation with a focus on continuous deployment, automation, and security.
Implementing embedded subsystems of FPGAs and GPUs to gather, classify, and build our understanding of image and signal data.
We understand that each of our projects has unique time frames and requirements and our approach must adjust to meet them.
Our agile planning process promotes flexibility and revisiting long-term plans to validate priorities.
We don't just prove a solution exists. We see our ideas through to actualized products.
Rather than traditional hierarchies, we operate as a constellation of teams that come together around specific goals.
Not all initiatives result in an end product, we have several ongoing research projects.
"If I write new code without tests, I'm saying that it's okay if it breaks in the future. In some contexts this is appropriate, other times it's not."
"When solving a problem, embrace the struggle, step back from it and examine it from all sides, the big payoff is not the solution, it is the insight and intuition gained, technical growth, and preparation for even bigger challenges."
"Don't overlook the importance of re-evaluating past work. The process of reviewing your teammate's old, terrible code will be quite frustrating until you realize, it was your code."
"Good experiment design, validation, and analysis are the stepping stones for effective deployable systems."
"Selecting the right tools and abstractions for a customer's problem leads to robust, maintainable software while allowing us to focus on security, automation, and innovation.:
"Like Voltaire said, Don't let perfect be the enemy of good. Done is better than perfect."
Building teams of great people who explore novel technology and deliver solutions with national impact.
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"If I write new code without tests, I'm saying that it's okay if it breaks in the future. In some contexts this is appropriate, other times it's not."Cheryl Danner Senior Machine Learning Engineer