Machine Learning

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Computer Vision 

IS4S provides cutting-edge machine learning solutions designed for real world applications. Our capabilities focus on utilizing advanced artificial intelligence (AI) concepts to provide tangible results for the customer and end user and that will rapidly advance mission objectives.  

Our work includes advanced object detection, tracking, and localization systems for drones. We utilize multiple hardware platforms including the NVIDIA Jetson Orin Nano with GPU-accelerated inference through PyTorch, creating solutions that operate directly on the edge providing real-time capabilities. We have also worked on utilizing AI data analysis for feedback into digital twin models utilizing computer vision to increase these digital capabilities. 

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Generative Artificial Intelligence (AI)  

We are increasing our capabilities in artificial intelligence research through continued implementation of AI technologies. Our team is developing in-house large language models (LLMs) focused on retrieval-augmented generation (RAG) and agentic AI. These systems will enable the engineering expertise of our company to rapidly engage and improve on existing and future endeavors. These models are being designed for local, on-site deployment and enabling robust language processing capabilities tailored for secure applications. 

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Radio Frequency Machine Learning 

Our team is a pioneering system integrator in the field of radio frequency machine learning (RFML). RFML can be used to support a variety of capabilities, and our product, Radio Frequency-Based Artificial Intelligence to Detect, Engage, & React (RAIDER), is under development to identify novel approaches to identify known and unknown signals of interest. We accomplish this through a complex approach to signal processing and RFML techniques, which can support friendly freedom of maneuverability and survivability. 

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Analysis of Metallurgical Property Data in HLSA Steels 

Our technology builds predictive models of the mechanical properties of metal systems using a machine learning algorithm. This data can be used by both metallurgists to develop better and more cost-effective metal systems and also by designers to evaluate candidates against requirements. 

Let’s talk Machine Learning.

We offer machine learning solutions out of multiple office sites. Give us a little detail about your project needs and we’ll get you in touch with the best suited team.