Artificial Intelligence Finds Application in Communication Satellites

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SES S.A collaborated with Massachusetts Institute of Technology for to use Artificial Intelligence and machine learning in its communications satellites

SES S.A., a Luxembourg-based mobile operator company, is working with the Massachusetts Institute of Technology (MIT) to develop Artificial Intelligence (AI) and machine learning for its communications satellite fleet. Similar to SES, various government agencies and space companies are focused on applying AI to their communication satellites to overcome various problems. Orbital Insight, a geospatial analytics company, depends on an AI to help answer consumer questions. According to Devin Brande, Orbital Insight advance programs director on October 10, 2018 at the Satellite Innovation 2018 conference, “Artificial intelligence enables human analysts to extract maximum value from imagery. We are on the cusp of combining modern remote sensing with other sources of intelligence to create a rich picture.”

SES S.A. also offers video and data connectivity to broadcasters, content and internet service providers, mobile and fixed network operators, governments and institutions. SES operates over 50 geostationary orbit satellites and 16 medium Earth orbit satellites. These include European Astra TV satellites, the O3b data satellites, and AMC, Ciel, NSS, Quetzsat, YahSat, and SES. The company was founded in 1985 as Société Européenne des Satellites and was renamed SES Global in 2001.

Intelligence Surveillance and Reconnaissance business of Raytheon, a defense contractor company, established a capability center to focus its AI and machine learning expertise. CosmiQ Works, is one of four laboratories established by In-Q-Tel with the objective to study the capacity of the U.S.to apply new and emerging commercial space capabilities for solving national security problems. CosmiQ Works, Radiant Solutions, DigitalGlobe, and Amazon Web Services hold the SpaceNet competition that offers cash prizes to competitors, which develop automated methods for detecting road networks or other landmarks from high-resolution satellite imagery. The winning algorithm is made open source by CosmiQ Works. The article was published in SpaceNews on October 10, 2018.

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