SRC, Inc., has been awarded a contract by the Air Force Research Laboratory (AFRL) Information Directorate to develop Neuromorphic On-Chip Autonomous Learning (NOCAL) capabilities.
Working with AFRL and the College of Engineering and Computer Science at Syracuse University, SRC is developing advanced machine learning (ML) algorithms that leverage the extremely low-power processing and adaptive learning capabilities of neuromorphic hardware.
In traditional ML applications, systems require extensive training and rely on pre-evaluated models to accurately process data and provide actionable intelligence. SRC’s research under the NOCAL contract will concentrate on inventing, designing, developing, and analyzing technology to disrupt the current state-of-practice. Artificial intelligence (AI) and ML capabilities on ultra-low-power neuromorphic hardware will autonomously adapt, learn and support future missions without communications or offline pre-mission training.
These advanced AI and ML capabilities, coupled with neuromorphic hardware, can learn on-the-fly, evolve detection and classification models in real-time during missions, and are especially effective in environmentally and situationally constrained areas.
"SRC continues to innovate and pioneer work in the areas of ML, AI, and low-power computing,” says Kevin Hair, president and CEO of SRC. “Our work with AFRL and Syracuse University on these novel algorithms will help our warfighters make informed decisions in the most challenging environments, allowing them to complete their mission successfully and come home safely.”
SRC brings decades of research and development expertise in machine intelligence and autonomy to this new effort, and has collaborated with AFRL in the past to develop the Agile Condo high performance embedded computing architecture – a military system that applies ML algorithms and neuromorphic computing techniques to provide data analysis and processing, exploitation and dissemination support for warfighters.