US Government Aims to Accelerate AI Research with "Genesis Mission"

As part of the "Genesis Mission," US government intends to intensify the advancement of artificial intelligence. To this end, data exchange will be simplified.

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The US government wants to advance AI research. As part of the "Genesis Mission," which President Trump launched on Monday, research resources between the government, the private sector, and universities are to be increasingly shared and bundled. To this end, the responsible Department of Energy is providing a platform to facilitate this data exchange.

This platform is intended to house the world's largest collection of research data, according to the White House order. With this dataset, AI models and agents can be trained to test new hypotheses and accelerate scientific breakthroughs. According to Bloomberg, the US government has already secured the support of major tech companies such as Nvidia, Dell, HPE, and AMD for the project, who could provide computing resources, among other things.

The "Genesis Mission" is intended to help solve challenges in the fields of energy, biotechnology, and materials research. For US President Trump, it is also about winning the AI race: "The United States will do whatever is necessary to be the world leader in AI," Trump said in the summer when presenting his AI Action Plan. With this, the US government wants to facilitate approval processes and ease environmental regulations when it comes to expanding AI infrastructure, such as data centers. The US government has identified China as a primary competitor in AI research.

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"The Genesis Mission will dramatically accelerate scientific discovery, strengthen national security, secure energy dominance, increase workforce productivity, and multiply the return of taxpayer investments in research and development," the US government writes in its Executive Order on the "Genesis Mission." The effort required in AI research is "comparable in urgency and ambition to the Manhattan Project," it further states.

(dahe)

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This article was originally published in German. It was translated with technical assistance and editorially reviewed before publication.