Solving Challenges to Advance Federal Missions
Explore this listing for Noblis publications, presentations and thought leadership resources.
Our novel deep learning approach enables automation and scalability to identify new malware that is outside known threat actors.
Our architecture uses machine learning (ML) and enables improved accuracy for long-term horizon weather forecasting and enhanced operational planning capabilities.
Our approach links real-time observations, geospatial analytics, and predictive modeling to improve decision-making workflows.
A phased program involving advanced site characterization approaches and tools is required to complete remedial investigations of complex PFAS sites.
Investigating the atmospheric and surface characteristics driving one of California’s largest wildfires towards development of AI/ML-based early warning systems.
Autonomous sampling machines need the ability to target samples despite limited visibility and robotic arm reach distance. We design a method to speed up the search process.
Noblis developed algorithm and system that simplifies, automates and quantifies interpretation of tests to help improve biothreat detection in resource-constrained environments.
Our research underscores the importance of understanding atmospheric and surface condition evolution in identifying early signals for wildfire occurrence. These findings are being used to inform the development of an AI/ML-based early warning system.
Loop-mediated isothermal amplification (LAMP) assays provide a rapid and cost-effective means for detection at point-of-care. Noblis-developed algorithm and simple analysis platform helps increase utility for in-field applications.
Noblis' virtual reality app allows for safe and rapid CBRN training exercises.
We show experimentally that SurfaceAug outperforms existing methods on car detection tasks and establishes a new state of the art for multimodal ground truth sampling.
Robotic access monitoring of multiple target areas has applications including checkpoint enforcement, surveillance and containment of fire and flood hazards. Through simulation we measure the performance of approaches on different scenarios.
