Tag: AI
IMCO’s Systems Introduces Technologies to Achieve Terrain Dominance
To achieve Terrain Dominance through technology overmatch, IMCO Industries combines platforms, sensors, and effectors developed in-house by its subsidiaries, affiliates, and partners. These systems are offered as upgrades of existing systems and equipping new platforms, to embrace the opportunities and challenges of the 21st-century battlespace.
AI Enhancing Land Forces’ Weapons and Platforms
Modern software-defined radios offering virtually unlimited bandwidth enable the warfighter to determine position, navigation, and timing without the support of GPS, opens unprecedented opportunities for joint fires, employing RAFAEL's 'FIRE WEAVER' battle command capabilities as seen here at a battalion-level exercise held last year. Connecting the dismounted teams with all sensors and effectors assigned to the operation, FIRE WEAVER can immediately address every target and call for fire assigning the most suitable and available weapon, within the availability, operational parameters, rules of engagement, and legal restrictions. With this capability FIRE WEAVER supports the dismounted squad, far beyond the organic weapons that members carry with them.
Rafael Unleashes Robots to Pursue Targets Indoors
RAFAEL’s INDOOR autonomous surveillance capability is taking this capability to a new level, by enabling a group of unmanned systems to map and inspect indoor spaces, enabling warfighters to explore structures suspected to be occupied by the adversary, without exposing humans to the dangerous house clearing and Close Quarters Battle (CQB).
An IDF Brigade to Field AI-Empowered Networked Fires by 2022
Israel’s Ministry of Defense (IMOD) has announced the acquisition of 'Fire Weaver' - a networked sensor-to-shooter system developed by Rafael Advanced Defense Systems. Fire Weaver will be implemented at the divisions of Israel’s Defense Forces (IDF) as it becomes operational in the coming year.
Reaper Drones to Master AI with Agile Condor Super Computing Pod
General Atomics Aeronautical Systems, Inc. has been awarded a contract from the U.S. Air Force (USAF) to demonstrate the Air Force Research Lab’s “Agile Condor” capability using a company-owned MQ-9 Remotely Piloted Aircraft (RPA). The testing will determine the optimum artificial intelligence and machine learning methodologies to find, identify and track select targets. Agile Condor also has the potential to dramatically reduce satellite bandwidth requirements as a result of its ability to automatically identify, classify, and nominate targets of interest.