US Space Force increases efforts to plug training capabilities gaps
The service has been seeking simulation and emulation solutions capable of reproducing multiple in-orbit threats.
Lockheed Martin has delivered a new set of deployable geospatial intelligence (GEOINT) capabilities and services providing improved situational awareness for the British Army.
The GEOINT capabilities have been developed by Lockheed Martin UK Information Systems & Global Solutions and its industry team, Team SOCRATES under the Future Deployable GEOINT (FDG) programme.
FDG provides soldiers with field-deployable GEOINT exploitation and map production capabilities to support strategic to tactical level operations, enabling commanders to rapidly update their frontline troops with customised and digital GEOINT.
The TIGAS (Tactical Information and Geospatial Analysis System) technology consolidates and enhances existing battlefield GEOINT capabilities and upgrades
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The service has been seeking simulation and emulation solutions capable of reproducing multiple in-orbit threats.
The service has been conducting several acquisition and upgrading efforts involving artificial intelligence and machine learning to improve communication, data analysis and ISR systems.
The Syracuse 4B communications satellite, developed by Airbus and Thales Alenia Space, was launched last year, bolstering secure military satellite communications for the French Armed Forces. Thales has now been selected to provide terminals for vehicles.
The growing importance of space in modern warfare, advancements in satellite technology, and increasing threats from rivals like China and Russia were among the topics of a Eurosatory 2024 panel on military space operations.
AN/ARC-232A is a Starfire radio that provides VHF/UHF communications to airborne platforms and the transceiver is software-programmable, allowing for multiple waveform support as well as optional national electronic counter counter-measure (ECCM) capability.
During the 18-month period of the contract, Lockheed Martin will apply Artificial Intelligence (AI) and Machine Learning (ML) techniques to create surrogate models of aircraft, sensors, electronic warfare and weapons within dynamic and operationally representative environments.