How Do You Know Your Artificial Intelligence is Intelligent?

September 27, 2016
By Matt Gould

For all the abilities of artificial intelligence (AI) technologies, there’s one particular area of intelligent behavior where machines fall short of humans—an area becoming increasingly important as AI takes on more complex tasks. They must communicate with the same fluency and articulation expected of humans so they can explain precisely what they are doing and provide interpretations of the complex data sets upon which they increasingly rely.

NOVA Chapter Members Biking Across Country to Raise Money for STEM

September 27, 2016
By Julianne Simpson

Three members of the AFCEA NOVA chapter are taking part in the TransAmerica Cycle for STEM. They will ride more than 4,000 miles to build awareness and support for science, technology, engineering and mathematics education for America’s youth.

Building a Library of Technology Interests

September 26, 2016
By David E. Meadows

Several newsletters from organizations within and outside of government together can give technologists an enhanced picture of the state of their field and the issues that dominate it.

After Active Duty: Blessed to Build

September 26, 2016
By George I. Seffers
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Col. Dean Fox, USAF (Ret.), executive vice president for cybersecurity, AECOM, has done a lot of building of one sort or another throughout his active-duty career and afterward.

SDN and NFV Can Finish What Data Center Consolidation Started

October 3, 2016
By Tim Solms

Networking is the last discipline to be touched by the Defense Department's major disruption for its information technology overhaul, which is where software-defined networking and network functions virtualization come into play, writes Juniper's Tim Solms.

U.S. Air Force Research Lab Receives its First Agile Condor Pod System

September 22, 2016

The not-for-profit defense and aerospace research and development firm SRC Inc. delivered to the U.S. Air Force Research Lab (AFRL) its first Agile Condor pod system, a scalable, low cost, size, weight and power (low-CSWaP) hardware architecture for on-board processing of a great deal of sensor data through high-performance embedded computing.