La Agencia Nacional de Inteligencia Geoespacial (NGA) lanz\u00f3 hoy un llamado a la industria \u2014por un valor de hasta 708 millones de d\u00f3lares durante un m\u00e1ximo de siete a\u00f1os\u2014 para obtener ayuda para entrenar sistemas de visi\u00f3n artificial impulsados por IA para, entre otras tareas, procesar im\u00e1genes satelitales e identificar objetivos de inter\u00e9s. NGA se hizo cargo de Maven del Departamento de Defensa en 2022. NGA recopila im\u00e1genes de sat\u00e9lites y aeronaves, las analiza y luego difunde los productos de inteligencia geoespacial (GEOINT) resultantes (como mapas 3D) a usuarios de todo el gobierno de EE. UU., incluidos l\u00edderes del Departamento de Defensa y comandantes militares.<\/p>\n
WASHINGTON \u2014\u00a0The\u00a0National Geospatial Intelligence Agency (NGA)<\/a>\u00a0today issued a call to industry \u2014 worth up to $708 million over a maximum of seven years \u2014 for help training AI-driven computer vision systems to, among other tasks, process satellite imagery and identify targets of interest.<\/p>\n Under the Sequoia program indefinite delivery\/indefinite quantity (ID\/IQ) contract, chosen vendors will provide data labeling, which allows artificial intelligence and machine learning systems to discriminate among objects. It is a foundational capability in particular for NGA\u2019s sprawling\u00a0Maven<\/a>\u00a0program, according to\u00a0NGA officials<\/a>.<\/p>\n NGA took over Maven from the Defense Department\u00a0in 2022<\/a>. NGA gathers imagery from satellites and aircraft, analyzes it, and then disseminates the resultant geospatial intelligence (GEOINT) products (such as 3D maps) to users across the US government, including to DoD leaders and military commanders.<\/p>\n \u201cFor example, the ID\/IQ contract will support the NGA Maven Program, which applies AI capabilities to intelligence, surveillance and reconnaissance sensors and platforms, primarily through computer vision,\u201d the NGA announcement said. \u201cThe NGA Maven CV [computer vision] algorithms, which rely heavily on robust data labeling, can perform a number of automated tasks, including but not limited to object detection, object tracking, object classification and pattern detection.\u201d<\/p>\n The Sequoia contract also will support \u201cnatural language processing, analytic models and AI\/ML models that support business process automation for the GEOINT mission,\u201d the announcement added.<\/p>\n Vice Adm. Frank Whitworth, NGA director, told reporters\u00a0on Aug. 30<\/a>\u00a0that the call is \u201cthe largest data labeling request for proposal in the US government,\u201d and \u201crepresents a significant investment in computer vision, machine learning and AI.\u201d<\/p>\n The increasing amount of GEOINT data pouring in\u00a0from myriad new satellites<\/a>\u00a0and other sensor platforms is posing a challenge for the Intelligence Community. While AI systems will help speed analysis, AI visual models first must be taught to accurately recognize military targets and ferret out abnormal activities.<\/p>\n