Cignal LLC Presents at DHS SVIP 2022 Machine Learning Demo Week


The company will showcase its high-performance computing and simulation environments
for Advanced Automated Threat Recognition Model Training

REEDSVILLE, Pa., April 29, 2022 /PRNewswire/ — Cignal LLC, a small company that develops high-performance computing (HPC) and simulation environments to rapidly train automated threat recognition (ATR) systems, announced that it has been selected as a presenter at Department of Homeland Security 2022 (DHS) Science and Technology (S&T) Directorate Silicon Valley Innovation Program (SVIP) Demonstration Week on Machine Learning.

During his presentation, Cignal will discuss and demonstrate its HPC software stack, which facilitates the dynamic training, evaluation and deployment of next-generation ATR systems for emerging and complex threats. The Cignal HPC stack enables users to create new filtering paradigms, new objects, and new artificial intelligence (AI) and machine learning (ML) models to protect public and critical infrastructure against emerging threats and complex. Using this stack, Cignal created the industry’s first million-bag volumetric dataset, which supports advanced X-ray and CT systems and AI/ML training for ATR models. on a large scale of trillions of parameters.

The Cignal HPC stack includes CignalRay, Checkpoint, Designer, Cignal Toolkit (CTK) and PyCTK. CignalRay, a patent-pending calculation and rendering engine, generates 2D and 3D images and labels for AI/ML training. Checkpoint is a dynamic training environment that simulates interactions between materials and objects and also allows users to manipulate objects and their properties, creating an unlimited number of dataset variations. To quickly address emerging threats, Designer allows new firearms, concealments, and explosives designs to be incorporated into the training pipeline for rapid detection of threats, which may be too difficult or dangerous to assess in live environments. . CTK and PyCTK provide AI/ML model developers with seamless interactive command line and Python access to the underlying compute and rendering engine, while making it easier to work with large datasets.

Cignal will present at the DHS SVIP 2022 Demonstration Week on Machine Learning the Tuesday, May 3, 2022.

AI/ML models rely on large amounts of labeled training data to learn, and generating this data for ATR applications is currently a labor-intensive, manual process. Cignal’s HPC and simulation capabilities remove these barriers, allowing users to quickly train or test new detection models without the time, cost or potential risks associated with conventional approaches.

About Cignal LLC

Cignal LLC manufactures high-performance computing systems to help advance next-generation automated threat recognition models to protect public and critical infrastructure against emerging and complex threats. Cignal LLC is headquartered in Central Pennsylvania. For more information, visit

Jaclyn Fiterman
Cignal LLC
[email protected]



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