The Air Force has a need to maintain a strong intelligence capability in semi-permissive and anti-access area denial (A2/AD) scenarios where full-motion video (FMV)-based surveillance assets are rare or unavailable. In such environments, priority is given to leveraging any and all other sources of intelligence available, which may include stand-off radar tracks, human-authored documents and “open sources” of data available on the public Web, including social media, such as Facebook and Twitter. This project will support the requirement of enhanced intelligence capability in A2/AD environments through research, development, and transition of an improved Multiple Intelligence Fusion Services (MIFS) framework. This project will improve intelligence, surveillance, and reconnaissance (ISR) capability using overhead imagery and other data sources, such as GMTI data, via web services under a contested environment. IFT will develop the software/hardware integrated high performance computing enabling framework, using cloud computing and GPUs with robust, survivable, and secure network services to provide efficient and powerful data analysis and decision making based on the Multi-INT fusion from different data sources.