Build your first fully functional, Java-based AI agent using familiar Spring conventions and built-in tools from Spring AI.
The AI War on Iran: Project Maven, a Secretive Palantir-Run System, Helps Pentagon Pick Bomb Targets
The Trump administration says the United States has struck 11,000 targets in Iran since the U.S.-Israeli war on the country ...
In the last few months I’ve been delving ever deeper into the Atlassian Forge ecosystem, the serverless platform that allows you to develop apps integrated into Jira, Confluence and other Atlassian ...
Project Maven, a secretive decade-long Pentagon campaign to deliver the U.S. into an age of AI warfare, is the subject of a ...
Chainguard is expanding beyond open-source security to protect open-core software, AI agent skills, and GitHub Actions.
A Pentagon official demonstrated live how Palantir's secretive Project Maven can be used to carry out a strike.Ina Fassbender/AFP/Getty Images A top Pentagon official provided a rare look inside how ...
An ongoing and heated dispute between the Pentagon and Anthropic is raising new questions about how the startup’s technology is actually used inside the US military. In late February, Anthropic ...
Though the US military's big data initiative Maven has sped up the planning of strikes for years, the comments suggest that generative AI is now adding a new interpretative layer to such deliberations ...
In order to strike a blistering 1,000 targets in the first 24 hours of its attack on Iran, the U.S. military leveraged the most advanced artificial intelligence it’s ever used in warfare, a tool that ...
Project Zomboid build 42 went live in its 'unstable' form in December 2024. Over a year later, and despite the introduction of multiplayer support at the end of 2025, it's still not reached the ...
One of the key aspects of No Rest for the Wicked is the ability to create complex builds using the game's attribute system combined with various types of weapons and armor. Thanks to this, you can ...
Big Tech is spending hundreds of billions of dollars to build out the energy-hungry infrastructure of AI, and many are turning to “behind-the-meter” solutions to get things up and running as quickly ...
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