Solving Challenges to Advance Federal Missions
Explore this listing for Noblis publications, presentations and thought leadership resources.
We provide a paradigm for harmonizing this multi-disciplinary effort using an Authoritative Broker of Truth (ABoT) process and apply this paradigm to a real-world case study.
We designed, implemented, and tested a solution that uses a robotic arm control system capable of picking soil in an outdoor environment.
We designed, developed, and tested a prototype system to automate a bench-top centrifuge, which has applications in reducing the cost and number of man hours for lab sample processing.
Noblis' EMBER is a wildfire activity predictive model tailored to end-user needs for decision making on timescales longer than one week.
DNAmix2021 was a large-scale inter-laboratory study conducted to assess variation in interpretations, comparisons, and statistical analyses of DNA mixtures. Analyses were based on 765 responses by 106 participants from 52 labs. Following are publications related to this study.
Noblis' good and grounded (G3) fact verification solution is an emerging approach to counter the threat of misinformation generated by large language models by malicious or unwitting actors.
In support of the Navy’s logistics, this research project evaluated automation opportunities to increase operational efficiency and resiliency of readiness in a contested logistics environment.
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.
