AI continues to be vital to the U.S. intelligence community in support of the counter-terrorism campaigns. Computer vision and machine learning allow intelligence cells to effectively sift through visual footage captured by unmanned aerial vehicles (UAV) and automatically target hostile activity.
This alleviates the need to spend hours manually sifting through videos to discover actionable information. More specifically, IARPA is developing algorithms for multilingual speech recognition and translation in noisy environments, geo-locating images without the associated metadata, fusing 2-D images to create 3-D models and building tools to infer a building’s function based on the pattern-of-life analysis. Neuron Storage™ immense raw power would be able to accomplish these tasks at lightning-fast speeds and pinpoint accuracy.