Information: Rome, N.Y. - The Information Directorate develops information technologies for aerospace command and control, and its transition to air, space and ground systems. Its focus areas include a broad spectrum of technologies including information fusion and exploitation, communications and networking, collaborative environments, modeling and simulation, defensive information warfare and intelligent information systems technologies. Directorate scientists and engineers develop systems, concepts and technologies to enhance the Air Force's capability to successfully meet the challenges of the information age. In addition to its primary mission, the directorate has partnered with other elements of the federal government, national intelligence agencies, numerous allied nations, state and local governments, and more than 50 major universities to work problems of common interest.
Condor Supercomputer, The Air Force Research Laboratory"We ran over 2 miles of cable to connect the Condor cluster all together. That's composed on 1,716 Playstation 3's, 156 general purpose graphics processing units and 84 dual Xeon processors. We were able to compile a computer capable of 500 trillion floating operations per second."
Data Exchange Becomes "Go-To" Software for Theater Information
Combined Information Data Network Exchange (CIDNE) is CENTCOM's answer to managing the complexities of theater-wide operational reporting, quality assurance and quality control.
I am AFRL, Mike Muccio"The coolest part of my job is being able to take what I learned, put it to use with my own hands, being able to actually fly these small aircraft and work on real wireless communications."
Memristor-Based Neural Network Fabricated, Characterized
AFRL's in-house Computational Intelligence research group, led by Dr. Robinson E. Pino, has achieved a critical milestone in the design, fabrication, and characterization of a 100-synapse memristor-based neural network. In collaboration with Boise State University (BSU), the team fabricated and characterized a memristor-based neural network, leveraging BSU-developed ion-conductor chalcogenide-based memristor devices.