VERUS RESEARCH News:

ALBUQUERQUE — Verus® Research, a New Mexico-based team of scientists and engineers specializing in advanced research and development, announces it has received a small business innovative research (SBIR) contract to support the Defense Threat Reduction Agency (DTRA).

Leveraging multiple machine learning and algorithm development efforts at Verus Research, the program will employ efficient machine learning algorithms to facilitate information fusion of radiation detector data.

“We are honored to receive a new contract to support the DTRA,” said Dr. J Mark DelGrande, chief technology officer at Verus Research. “Our work on this project will help the agency evaluate first-rate machine learning algorithms. We are excited to embark on this new project.”

The new project will improve radiation detection capabilities by developing networked radiation detection algorithms based on the fusion of multiple and varied raw outputs from detectors deployed across a complex, one square kilometer scene.

Verus Research will identify algorithms that can support the fusion of raw detector outputs into usable information and demonstrate the potential of these algorithms to improve the localization, identification, and characterization of radioactive sources. The process will allow the evaluation of multiple candidate algorithms for eventual down-selection to the most promising ones for further development.

For more information, visit Verusresearch.net.