Machine Learning and Artificial Intelligence

Advances in computational hardware, algorithms, and an explosion of available training data have enabled machine learning algorithms to achieve human-level competency on a range of important tasks.

    Department of Defense (DoD) and Intelligence Community (IC) sensors are now providing more data than can be reasonably processed by trained analysts. Hence, it is critically important to leverage modern machine learning techniques to enable rapid, reliable processing of data so that the analyst can be maximally effective.

     

    Our Approach

    Centauri analysts apply cutting-edge deep learning algorithms to the most challenging problems in automatic target recognition, image processing, and signals analysis. Machine learning engineers at Centauri work closely with their subject matter experts to design and train expert-informed algorithms. Centauri’s incorporation of subject-matter-expertise into machine learning and artificial intelligence algorithms is integral in ensuring that the resulting algorithms produce robust and accurate expert-level solutions.

    By employing their novel brand of subject-matter-expertise informed machine learning algorithms, Centauri’s analysts and engineers have advanced the state-of-the-art and delivered the power of artificial intelligence to our customers, allowing them to process more data and to process it better than ever before. Centauri’s machine learning algorithms have been successfully demonstrated across a diverse range of application areas and have allowed our customers to redefine the art of the possible.

     

    Related Capabilities

    Geo-Positioning and Targeting

    Centauri has been improving the nation’s geo-positioning capabilities by leveraging a team of integrated subject matter experts

    Intelligence Analysis

    Centauri subject matter experts accumulate information relative to the national security interests of our clients.

    Large Data Analytics

    Centauriintegrates artificial Intelligence and machine learning into all facets of our services and expertise.

    Space Domain Awareness

    Centauri’s expertise in high-fidelity physics-based modeling and simulation enables extensive and accurate assessment of SDA systems

    Geo-Positioning and Targeting

    Geo-positioning, a foundational operation in remote sensing and geospatial intelligence (GEOINT), determines the location of objects with respect to a given reference frame based on the information gathered by the sensor(s) from a location remote to the observed objects. Knowing that something exists in the scene is important, but knowing precisely where it is located gives context and makes the data actionable. The process of geo-positioning provides the “where” aspect of intelligence gathering.

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    Intelligence Analysis

    Intelligence Analysis is the application of individual and collective cognitive methods to weigh data and test hypotheses within a sub-context. The capacity to develop timely, well-formulated strategic intelligence is vital to the security of Centauri clients. Our analysts collect information from a wide-range of individuals and connect the similarities of their knowledge, which will create a shared truth.

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    Large Data Analytics

    Centauri creates and uses state of the art machine-learning algorithms to process massive amounts of data, at scale, in order to provide timely intelligence exploitation and analysis to end-users across the globe. Our integration of artificial intelligence into all phases of the Tasking, Collection, Processing, Exploitation, and Dissemination (TCPED) cycle allows us to provide new insights from previously intractable datasets as well as rapid visualization of those insights and deployment to the warfighter.

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    Space Domain Awareness

    Space Domain Awareness (SDA) encompasses surveillance, detection, tracking, identifying and characterizing objects in Earth orbit and beyond, ranging from fully functional satellites to space junk and debris. Both the estimates of the position and velocity of each object and the accuracy of these estimates are critical to capture the overall picture of space objects. These estimates are acquired via various sensor domains (optical, radar, passive RF) and measurements (range, range rate, angles, and interferometric observations).

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