Artificial Intelligence and Deep Learning
CACI harnesses the latest research and development into the rapidly advancing field of artificial intelligence (AI) for the Department of Defense and the Intelligence Community. Automation is a key customer priority, and CACI is breaking new ground in bringing this critical capability to the mission. By focusing on mission needs and pragmatic approaches, we embed advanced AI techniques within production-ready, cost-effective architectures capable of meeting evolving strategic and tactical needs.
CACI uses deep learning technology to help our customers make decisions at the speed of mission. We build and deploy advanced analytics solutions to process a wide range of data, including cyber, signals, and computer vision information. Our AI experts can assist in object and anomaly detection and classification, natural language processing, unsupervised cyber defense, and entity extraction and linking. We have also employed machine learning and image processing algorithms to automate the tracking of objects of interest.
CACI experts help protect some of the largest government information networks, including by designing automated threat detection systems. Our team developed a solution to reduce the rate of false alarms and leverage neural networks to identify classes of behaviors for both known and novel threats with results that proved to be at least as accurate as the average human, but at a much faster rate of performance.
CACI uses convolutional neural network architectures to execute data-driven deep learning projects with no intervention by developers and engineers. Our efforts in computer vision and image processing have yielded outstanding results, including large-scale automation of object detection and classification for our national security customers. Our solutions enable discovery of trends, variations in data, and anomalies to enable decision-making. They include alerts for analysts, as well as automated reporting.
For a defense customer, CACI developed a tool chain that can automate the creation of cyber sensors at the request of cyber warfighters. Each cyber sensor has a specific use, such as network security or user monitoring, and an associated data set. Using CACI-developed interfaces, cyber warfighters can train neural networks to improve unsupervised classification of very large data sets. That means they more quickly can detect threats to networks that might otherwise go undetected by human analysts.
By combining an intuitive user experience with the most advanced deep-learning techniques, CACI technology can provide the most effective analytic tools for your mission.
SAMPLE RESULTS
Q&A With Brian No
In this interview, CACI’s AI Research and Development Manager Brian No discusses how the company’s AI and Deep Learning expertise and technology help vastly speed up imagery and full motion video analysis.
LEARN MORECACI applies AI and machine learning (ML) expertise and technology to accelerate mission productivity and effectiveness, and rapidly analyze and translate data into decisions.
CACI provides the Intelligence Community with the AI and ML solutions that automate the information collection, processing, exploitation, and dissemination process.
We leverage AI, ML, and robotic process automation (RPA) technologies to enhance our customers’ business productivity and speed data to decisions.
FeatureTrace revolutionizes geospatial intelligence (GEOINT) analysis. Using deep learning and artificial intelligence (AI) tools and algorithms, FeatureTrace saves hours of valuable manpower by automatically collecting key satellite and overhead imagery road and transport network features.
Accelerate Deployment of ML Models at Scale
Machine Learning Operations (MLOps) is a set of best practices, tools, and methodologies that manage and streamline the development, deployment, monitoring, and maintenance of machine learning (ML) models in production environments.
CACI's modular, multi-object tracking system uses AI to identify and track objects such as vehicles and humans. This integrated deep learning-based neural network system can perform real-time detection in complex and noisy imagery situations.
CACI’s ReBeDe is a breakthrough computational engine created by our AI experts that combines modern machine learning with AI to reason over and extract semantic meaning from video content – significantly improving analyst workflow.
CACI applies AI and machine learning (ML) expertise and technology to accelerate mission productivity and effectiveness, and rapidly analyze and translate data into decisions.
CACI provides the Intelligence Community with the AI and ML solutions that automate the information collection, processing, exploitation, and dissemination process.
We leverage AI, ML, and robotic process automation (RPA) technologies to enhance our customers’ business productivity and speed data to decisions.
FeatureTrace revolutionizes geospatial intelligence (GEOINT) analysis. Using deep learning and artificial intelligence (AI) tools and algorithms, FeatureTrace saves hours of valuable manpower by automatically collecting key satellite and overhead imagery road and transport network features.
Accelerate Deployment of ML Models at Scale
Machine Learning Operations (MLOps) is a set of best practices, tools, and methodologies that manage and streamline the development, deployment, monitoring, and maintenance of machine learning (ML) models in production environments.
CACI's modular, multi-object tracking system uses AI to identify and track objects such as vehicles and humans. This integrated deep learning-based neural network system can perform real-time detection in complex and noisy imagery situations.
CACI’s ReBeDe is a breakthrough computational engine created by our AI experts that combines modern machine learning with AI to reason over and extract semantic meaning from video content – significantly improving analyst workflow.