Google Working With The Pentagon On AI For Drones | Aero-News Network
Aero-News Network
RSS icon RSS feed
podcast icon MP3 podcast
Subscribe Aero-News e-mail Newsletter Subscribe

Airborne Unlimited -- Most Recent Daily Episodes

Episode Date

Airborne-Monday

Airborne-Tuesday

Airborne-Wednesday Airborne-Thursday

Airborne-Friday

Airborne On YouTube

Airborne-Unlimited-10.27.25

AirborneNextGen-
10.28.25

Airborne-Unlimited-10.29.25

Airborne-Unlimited-10.30.25

AirborneUnlimited-10.17.25

Fri, Mar 09, 2018

Google Working With The Pentagon On AI For Drones

Artificial Intelligence Would Analyze Video Captured By UAVs

Google has entered into a contract with the U.S. Department of Defense to work on Project Maven, which is designed to use Artificial Intelligence (AI) to identify objects in video and still images captured by drones. And according to Gizmodo, some company employees are not happy that their work is being offered to the Pentagon.

Google says its involvement with Project Maven is not related to use in combat, but some in the tech industry remain unconvinced that such uses would never be considered.

Project Maven, which is also known as Algorithmic Warfare Cross-Functional Team (AWCFT), has been around since April of last year. The DOD spent $7.4 billion on AI-related research in 2017, according to the Wall Street Journal.

The initial charge for the project was to assist in processing the mountains of images and video captured by military drones every day. Human analysts are unable to keep up with the inflow of images and data, according to Greg Allen of the Center for a New American Security. The military has gotten very good at collecting data, but has lagged in ways to make sense of it all.

The Maven program's first objective was using AI to identify vehicles and other objects in up to 38 categories. It also allows the Pentagon to track specific people as they move between different locations.

In a statement to Gizmodo, Google said that it does provided the DOD with TensorFlow APIs, which are used in machine learning applications which help military analysts detect objects in images.

“We have long worked with government agencies to provide technology solutions. This specific project is a pilot with the Department of Defense, to provide open source TensorFlow APIs that can assist in object recognition on unclassified data,” a Google spokesperson said in the statement. “The technology flags images for human review, and is for non-offensive uses only. Military use of machine learning naturally raises valid concerns. We’re actively discussing this important topic internally and with others as we continue to develop policies and safeguards around the development and use of our machine learning technologies.”

(Image from file)

FMI: Original report

Advertisement

More News

Aero-News: Quote of the Day (11.02.25)

"Aero-News has been working with SUN n FUN as their media partner for the better part of a decade and gotten to know their crew quite well... but this cooperative undertaking has p>[...]

ANN's Daily Aero-Term (11.02.25): Inner-Approach OFZ

Inner-Approach OFZ The inner-approach OFZ is a defined volume of airspace centered on the approach area. The inner-approach OFZ applies only to runways with an approach lighting sy>[...]

Classic Aero-TV: MultiGP Drone Racing - Aviation’s New Action Sport

From 2017 (YouTube Edition): Pilots Competed For $10,000 For A First Place Finish… Drone Racing came to the Sebring Sport Aviation Expo in January, with pilots competing for>[...]

ANN's Daily Aero-Term (11.03.25): On-Course Indication

On-Course Indication An indication on an instrument, which provides the pilot a visual means of determining that the aircraft is located on the centerline of a given navigational t>[...]

Airborne 10.29.25: X-59 Flies!!!, Kings Aid CFIs, Shutdown Hurts ATC Training

Also: AIR Loses eVTOL Demonstrator, USCG Getting New Helos, Freighter Fleet To Grow, US Army Falls Behind Lockheed Martin Skunk Works, in partnership with NASA, successfully comple>[...]

blog comments powered by Disqus



Advertisement

Advertisement

Podcasts

Advertisement

© 2007 - 2025 Web Development & Design by Pauli Systems, LC