Case Studies
Explanations in Lunar Surface Exploration (ELSE) for Machine Learning Models to Assist in NASA Rover Exploration
Mosaic ATM is supporting NASA by developing explainable machine learning models to assist with lunar rover exploration.
Contract Award
Mosaic ATM Wins First FAA SETIS TO Award
Mosaic ATM has been awarded our first task order through the SETIS contract vehicle assisting the FAA with an automation evolution strategy.
Contract Award
Mosaic Awarded Flight Data Project at Florida NextGen Testbed (FTB)
We are pleased to announce that Mosaic has been awarded a project at the Florida NextGen Testbed (FTB) supporting Common Support Services – Flight Data (CSS-FD). CSS-FD is a service available to the broad aviation enterprise for flight planning, flight plan filing, and for the exchange of real-time, dynamic, flight Read more…
Case Studies
ATD-2 Machine Learning Model Validation Framework Design
To realize the full power of machine learning, organizations need to focus on operations and delivery of the predictions as much as the development of the algorithm itself. In the case of NASA and ATD-2, building trust in the machine learning predictions is essential to expanding their use to improve inefficient operations and unused capacity. Air traffic controllers must trust the recommendations presented by them, and validation is essential towards building trust.
Blogs
A Call for a Flight Data Analysis Suite
Mosaic lays out an approach to developing a flight data analysis suite that can be used to solve common airspace system problems.
Contract Award
Mosaic to examine how AI and ML can improve trajectory modeling in TBFM.
Mosaic is excited to announce our support for the FAA NextGen Office, working with ATCorp. Mosaic will examine how AI and ML can improve trajectory modeling in TBFM, and how these improvements could be applied to other automation systems or a common trajectory modeler.
Contract Award
sUAS Collision Avoidance | SBIR Phase II Selection
Mosaic is thrilled to announce the selection of a NASA SBIR Phase II research project. In Phase II, Mosaic will continue work to improve Unmanned Aircraft System (UAS) and National Airspace System (NAS) safety. Risks posed by sUAS to manned aircraft continue to increase as sUAS operations expand. To improve Read more…
Contract Award
Cloud FMS | SBIR Phase II Selection
Mosaic is thrilled to announce the selection of a NASA SBIR Phase II proposal. We will continue our work on the Cloud FMS project, read more about Phase I here. We propose to build a Cloud-Based Flight Management System (FMS), whereby safety-critical functions residing on the flight deck are separated Read more…
Case Studies
Taxi Time Predictions
The taxi-out time predictions help pilots decide when to “single-engine taxi”: taxi most of the way to the runway with only a single-engine turned on, turning on the second engine just a few minutes before take-off. The single-engine taxi decision is typically made by pilots within an hour of push back. Still, our customer asked for predictions up to four hours in advance of the expected push back time.
Case Studies
TBFM in the Cloud
Use of the Cloud has allowed commercial and Government systems to leverage the flexibility, scalability, reliability, and security of Cloud infrastructure to achieve significant efficiencies, and rapid innovation, in complex operational environments. The associated move to a micro-services Service Oriented Architecture (SOA) in the Cloud has further enhanced modularity, re-use of system capabilities, and simplification of verification and validation testing.