Monday, September 16, 2019

GA-ASI MQ-9 Reaper to get SRC Agile Condor AI Supercomputer Pod to integrate Sensors Onboard

GA-ASI MQ-9 Reaper to get SRC Agile Condor AI Supercomputer Pod to integrate Sensors Onboard

Reaper Drones to Master AI with Agile Condor Super Computing Pod - Defense Update:: 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. - Defense Update:

Agile Condor HPEC Pod for Air Force | SRC, Inc.

Agile Condor® HPEC Pod for Air Force

The Agile Condor technology is capable of being flown on remotely piloted aircraft in a pod-based enclosure and enables on-board, high-performance embedded computing to derive real-time, actionable intelligence
SRC has been focused on solving myriad problems that exist around the data analysis requirements of intelligence, surveillance and reconnaissance (ISR) missions. In an effort to bring big data analysis closer to the sensor, SRC has developed the Agile Condor® high performance embedded computing architecture for the Air Force Research Lab (AFRL) in Rome, NY. The Agile Condor pod system is a scalable, low cost, size, weight and power (low-CSWaP) hardware architecture that enables high-performance embedded computing (HPEC) on-board remotely piloted aircraft (RPA).


From the 2015 IEEE High Performance and Embedded Computing Conference

HPEC is the largest computing conference in New England and is the premier conference in the world on the convergence of High Performance and Embedded Computing. 


18_Paper52AgileCondor-HPEC15-v4.pdf




18_Paper52AgileCondor-HPEC15-v4.pdf





3 comments: