Carten Cordell

Carten Cordell

Senior Tech Reporter

Carten Cordell is a Senior Technology Reporter for FedScoop. He is a former workforce and acquisition reporter at Federal Times, having previously served as online editor for Northern Virginia Magazine and Investigative Reporter for Watchdog.org, Virginia Bureau. Carten was a 2014 National Press Foundation Paul Miller Fellow and has a Master’s degree from the Medill School of Journalism at Northwestern University. He is also a graduate of Auburn University and promises to temper his passions for college football while in the office.

Acquisition

PSC survey finds acquisition professionals are hopeful, despite tough climate

by Carten Cordell • 3 days ago

The survey said federal officials feel acquisition workforce skill is improving, despite continued headwinds in hiring and budget challenges.

Defense

Quantum computing supremacy would be a ‘digital nuclear bomb,’ Rep. McCaul says

by Carten Cordell • 4 days ago

The congressman said the Five Eyes intelligence alliance should collaborate on more technology developments, including quantum computing.

Acquisition

GSA inks deal with Veritas for data and cloud management software

by Carten Cordell • 4 days ago

GSA officials reached an agreement with Veritas Technologies for a single software contract as part of its IT Schedule 70 FITARA Enhancement Program.

Acquisition

GSA: Agencies wanting an EIS extension better have transformation in mind

by Carten Cordell • 5 days ago

Agencies with plans to transform their technology infrastructure will be more likely to get an EIS deadline extension, GSA officials said.

Defense

Military to collaborate with allies on quantum navigation project

by Carten Cordell • 6 days ago

An Air Force official said last week the military is planning a joint exercise with the UK, Australia and Canada on a quantum “challenge program.”

Acquisition

DARPA interested in applying quantum computing to machine learning

by Carten Cordell • 1 week ago

Defense officials want to leverage the nuanced technology’s computing power to optimize machine learning as well as address scientific modeling problems.