ARTIFICIAL INTELLIGENCE / MACHINE SOLUTION
Introducing AAIM LAB
Azimuth’s Autonomy, Artificial Intelligence, Machine Learning (AAIM) Lab:
Advanced Technology Providing Rapid Solutions
The Department of Defense faces consistently increasing pressure to find solutions to national defense challenges – equipping and protecting our warfighters - faster than ever. In May, 2020, Azimuth Corporation fully deployed its Autonomy, Artificial Intelligence, Machine Learning (AAIM) Lab to accelerate problem-solving relevant to these efforts. As a third-party merchant service, the AAIM Lab will undertake development challenges for various customers and partners, employing existing and to-be-developed AI/ML tools.
The AAIM Lab employs concepts with proven capability and efficiency demonstrated in prior Air Force contract work. This allows an accelerated path to software and equipment configuration. Azimuth has invested funds (IRAD dollars) in staffing and equipping the AAIM Lab with notable expertise in optical, molecular, physics, and quantum sciences.
Success at AFRL
As part of our work under contract with the Air Force Research Lab, we added machine learning into a material design process enabling the modeling and performance analysis of an extraordinary number of iterative designs before the first prototype was made. And that design was so advanced, the technology did not exist to construct the material! The design parameters had to be somewhat reduced to identify a design with optimal performance that was also manufacturable. Within 10 minutes of feeding in those new parameters, the machine identified the new optimal design ready to be manufactured.
Partnering with Azimuth
Azimuth’s IT activities support scientific, engineering, and intelligence operations with capabilities ranging from database development, and data processing and manipulation, through basic and intelligent algorithm development. We’ve developed flexible use analytical data visualization capabilities with potential ranging from object tracking to predictive bio-signature patterning. Our intelligent capabilities are functional for tasks that are beyond human limitations, covering a spectrum from situational analysis comprehension to meta-material creation.
The Quantum Economic Development Consortium (QED-C) is a consortium of stakeholders that aims to enable and grow the U.S. quantum industry. QED-C was established with support from the National Institute of Standards and Technology (NIST) as part of the Federal strategy for advancing quantum information science and as called for by the National Quantum Initiative Act enacted in 2018.
Today, QED-C has support from multiple agencies and a diverse set of industry, academic, and other stakeholders. QED-C participants are working together to identify gaps in technology, standards, and workforce and to address those gaps through collaboration.