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Exploring methods to predict the future performance of critical technologies will require historical data on technologies’ performance over time, ideally over the span of decades. The Intelligence Advanced Research Projects Activity (IARPA) believes they may be able to predict the future performance of critical technologies by analyzing developments of their constituent systems and components over
U.S. intelligence experts will brief industry on 29 May 2019 on a project to blend data from satellite-based multispectral imaging sensors and visible-light sensors to detect heavy building projects and highway construction from space. Officials of the U.S. Intelligence Advanced Projects Agency (IARPA) in Washington will sponsor the industry briefings for the Space-based Machine Automated
For computer vision and facial recognition systems to work reliably, they need training datasets that approximate real-world conditions. So far, researchers have had access to only a small number of image datasets, many of which are heavily populated with still pictures of fair-skinned men. This limitation impacts the accuracy of the technology when it comes