The tech industry’s pursuit of space-based AI data centers could have positive implications for military space operations, potentially enabling faster communication speeds from multiple orbits for programs like Golden Dome, industry and defense officials said March 24. 
Just one year ago, Collaborative Combat Aircraft took center stage as then-Chief of Staff Gen. David W. Allvin designated the two competing jets prototypes as the first unmanned fighters in Air Force history: General Atomics’ YFQ-42A and Anduril Industries’ YFQ-44A. Twelve months later, it’s the autonomy software that’s flying those aircraft garnering the attention. Autonomy software, more than hardware, may prove the most valuable and enduring element of the CCA ...
The Pentagon’s adoption of generative artificial intelligence tools—including the recent addition of the world’s most popular model, ChatGPT—holds promise for more efficient work for Department of Defense personnel but also poses risks unless users remain vigilant, experts told Air & Space Forces Magazine.
Defense Secretary Pete Hegseth last week released strategies meant to focus the Pentagon’s “alphabet soup” of innovation organizations and proliferate artificial intelligence—moves that experts say could provide the structure needed to make the military’s efforts to integrate and field new technology more effective.
When lawmakers and outside experts turn their attention to how the U.S. military can use of artificial intelligence, they tend to focus on weapons systems—the most consequential and risk-laden use cases—and on generative AI. But behind the scenes, the Air Force is already using machine ...
The Air Force is offering space on five of its bases for companies to build artificial intelligence data centers, part of a broader push by the Trump administration to speed up development of the infrastructure needed to enable the rapid development and adoption of AI technology. ...
Now that the Air Force is starting to deploy artificial intelligence operationally, service leaders are grappling with AI’s limitations—not just what it can and cannot do, but the extensive data and technical and human infrastructure it needs to work.